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]]> Buzzsprout (https://www.buzzsprout.com) Control theory, automatic control, feedback, artificial intelligence, control engineering, engineering Alberto Padoan https://storage.buzzsprout.com/78o3tgphzcs2g4jhzr4c6byyg05s?.jpg inControl https://incontrolpodcast.myshopify.com/cart ep47 - Tore Hägglund and José Luis Guzman: the art of PID control ep47 - Tore Hägglund and José Luis Guzman: the art of PID control Outline
00:00 - Intro
08:35 - What is PID control?
12:15 - The history: Minorsky, 1922, and steering ships
21:00 - The lambda method, IMC, and analytical tuning
28:45 - Set-point weighting and two degrees of freedom
32:50 - Automatic tuning and the relay feedback problem
40:35 - The Lund school and Karl Johan Åström
50:20 - PID is nearly optimal
57:30 - PID tuning: the elephant in the room
1:01:35 - Open problems and the one-third rule
1:05:45 - Feedforward: the unsung hero
1:15:00 - PID as a building block in large-scale control
1:21:40 - Teaching, outsourcing, and lost knowledge
1:28:15 - PID in the AI age
1:32:25 - Microalgae and sustainable process control
1:40:05 - Advice for young researchers and the future of PID

Links
Hägglund & Guzmán, "Give us PID controllers and we can control the world": https://doi.org/10.1016/j.ifacol.2024.08.018
Minorsky, "Directional Stability of Automatically Steered Bodies": https://doi.org/10.1111/j.1559-3584.1922.tb04958.x
Hazen, "Theory of Servo-Mechanisms": https://doi.org/10.1016/S0016-0032(34)90254-4
Ziegler & Nichols, "Optimum Settings for Automatic Controllers": https://doi.org/10.1115/1.4019264
Dahlin, "Designing and Tuning Digital Controllers" (the lambda method): https://skoge.folk.ntnu.no/puublications_others/1968_Dahlin%20-%20Designing%20and%20tuning%20digital%20controllers.pdf
Rivera, Morari & Skogestad, "Internal Model Control: PID Controller Design": https://skoge.folk.ntnu.no/publications/1986/Rivera86/Rivera86.pdf
Åström & Hägglund, "Automatic Tuning of Simple Regulators": https://cse.lab.imtlucca.it/~bemporad/teaching/controllodigitale/pdf/Astrom-ACC89.pdf
Hägglund & Åström, "Industrial Adaptive Controllers Based on Frequency Response Techniques": https://doi.org/10.1016/0005-1098(91)90052-4
Åström & Hägglund, "The Future of PID Control": https://doi.org/10.1016/S0967-0661(01)00062-4
Hägglund, "A Unified Discussion on Signal Filtering in PID Control": https://doi.org/10.1016/j.conengprac.2013.03.012
Theorin & Hägglund, "Derivative Backoff: The Other Saturation Problem": https://doi.org/10.1016/j.jprocont.2015.06.008
Hägglund, mid-ranging control (2021): https://skoge.folk.ntnu.no/puublications_others/apc-papers/midranging-control-vpc-hagglund-2020.pdf
Guzmán & Hägglund, "Simple Tuning Rules for Feedforward Compensators": https://doi.org/10.1016/j.jprocont.2010.10.007
Guzmán, Hägglund, Veronesi & Visioli, "Performance Indices for Feedforward Control": https://doi.org/10.1016/j.jprocont.2014.12.004
Del Hoyo, Hägglund, Guzmán & Moreno: https://doi.org/10.1016/j.conengprac.2023.105636
Pawlowski, Guzmán, Normey-Rico & Berenguel, "Improving Feedforward Disturbance Compensation in GPC": Improving feedforward disturbance compensation capabilities in Generalized Predictive Control
Guzmán & Hägglund, "Feedforward Control: Analysis, Design, Tuning Rules, and Implementation": https://books.google.it/books/about/Feedforward_Control.html?id=f_C00AEACAAJ
Normey-Rico & Guzmán, "Unified PID Tuning Approach for Dead-Time Processes": https://doi.org/10.3182/20120328-3-IT-3014.00006
Soltesz & Cervin, "When Is PID a Good Choice?": https://doi.org/10.1016/j.ifacol.2018.06.074
Grimholt, PID optimality: https://skoge.folk.ntnu.no/publications/thesis/2018_grimholt/phd-thesis-grimholt-2018.pdf
Hägglund & Guzmán, "Development of Basic Process Control Structures": https://doi.org/10.1016/j.ifacol.2018.06.202
Skogestad, "Advanced Control Using Decomposition and Simple Elements": https://doi.org/10.1016/j.arcontrol.2023.100903
Guzmán, Hägglund et al., "Understanding PID Design Through Interactive Tools": https://doi.org/10.3182/20140824-6-ZA-1003.01328
ISA-TR5.9-2023, "Proportional-Integral-Derivative Control Algorithms and Performance": https://www.isa.org/products/isa-tr5-9-2023-proportional-integral-derivative-pi
Vilanova & Visioli, "PID Control in the Third Millennium": https://books.google.it/books/about/PID_Controllers.html?id=FsyhngEACAAJ
Brian Douglas — control engineering education videos: https://engineeringmedia.com/videos

Support the show

Podcast info
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Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
08:35 - What is PID control?
12:15 - The history: Minorsky, 1922, and steering ships
21:00 - The lambda method, IMC, and analytical tuning
28:45 - Set-point weighting and two degrees of freedom
32:50 - Automatic tuning and the relay feedback problem
40:35 - The Lund school and Karl Johan Åström
50:20 - PID is nearly optimal
57:30 - PID tuning: the elephant in the room
1:01:35 - Open problems and the one-third rule
1:05:45 - Feedforward: the unsung hero
1:15:00 - PID as a building block in large-scale control
1:21:40 - Teaching, outsourcing, and lost knowledge
1:28:15 - PID in the AI age
1:32:25 - Microalgae and sustainable process control
1:40:05 - Advice for young researchers and the future of PID

Links
Hägglund & Guzmán, "Give us PID controllers and we can control the world": https://doi.org/10.1016/j.ifacol.2024.08.018
Minorsky, "Directional Stability of Automatically Steered Bodies": https://doi.org/10.1111/j.1559-3584.1922.tb04958.x
Hazen, "Theory of Servo-Mechanisms": https://doi.org/10.1016/S0016-0032(34)90254-4
Ziegler & Nichols, "Optimum Settings for Automatic Controllers": https://doi.org/10.1115/1.4019264
Dahlin, "Designing and Tuning Digital Controllers" (the lambda method): https://skoge.folk.ntnu.no/puublications_others/1968_Dahlin%20-%20Designing%20and%20tuning%20digital%20controllers.pdf
Rivera, Morari & Skogestad, "Internal Model Control: PID Controller Design": https://skoge.folk.ntnu.no/publications/1986/Rivera86/Rivera86.pdf
Åström & Hägglund, "Automatic Tuning of Simple Regulators": https://cse.lab.imtlucca.it/~bemporad/teaching/controllodigitale/pdf/Astrom-ACC89.pdf
Hägglund & Åström, "Industrial Adaptive Controllers Based on Frequency Response Techniques": https://doi.org/10.1016/0005-1098(91)90052-4
Åström & Hägglund, "The Future of PID Control": https://doi.org/10.1016/S0967-0661(01)00062-4
Hägglund, "A Unified Discussion on Signal Filtering in PID Control": https://doi.org/10.1016/j.conengprac.2013.03.012
Theorin & Hägglund, "Derivative Backoff: The Other Saturation Problem": https://doi.org/10.1016/j.jprocont.2015.06.008
Hägglund, mid-ranging control (2021): https://skoge.folk.ntnu.no/puublications_others/apc-papers/midranging-control-vpc-hagglund-2020.pdf
Guzmán & Hägglund, "Simple Tuning Rules for Feedforward Compensators": https://doi.org/10.1016/j.jprocont.2010.10.007
Guzmán, Hägglund, Veronesi & Visioli, "Performance Indices for Feedforward Control": https://doi.org/10.1016/j.jprocont.2014.12.004
Del Hoyo, Hägglund, Guzmán & Moreno: https://doi.org/10.1016/j.conengprac.2023.105636
Pawlowski, Guzmán, Normey-Rico & Berenguel, "Improving Feedforward Disturbance Compensation in GPC": Improving feedforward disturbance compensation capabilities in Generalized Predictive Control
Guzmán & Hägglund, "Feedforward Control: Analysis, Design, Tuning Rules, and Implementation": https://books.google.it/books/about/Feedforward_Control.html?id=f_C00AEACAAJ
Normey-Rico & Guzmán, "Unified PID Tuning Approach for Dead-Time Processes": https://doi.org/10.3182/20120328-3-IT-3014.00006
Soltesz & Cervin, "When Is PID a Good Choice?": https://doi.org/10.1016/j.ifacol.2018.06.074
Grimholt, PID optimality: https://skoge.folk.ntnu.no/publications/thesis/2018_grimholt/phd-thesis-grimholt-2018.pdf
Hägglund & Guzmán, "Development of Basic Process Control Structures": https://doi.org/10.1016/j.ifacol.2018.06.202
Skogestad, "Advanced Control Using Decomposition and Simple Elements": https://doi.org/10.1016/j.arcontrol.2023.100903
Guzmán, Hägglund et al., "Understanding PID Design Through Interactive Tools": https://doi.org/10.3182/20140824-6-ZA-1003.01328
ISA-TR5.9-2023, "Proportional-Integral-Derivative Control Algorithms and Performance": https://www.isa.org/products/isa-tr5-9-2023-proportional-integral-derivative-pi
Vilanova & Visioli, "PID Control in the Third Millennium": https://books.google.it/books/about/PID_Controllers.html?id=FsyhngEACAAJ
Brian Douglas — control engineering education videos: https://engineeringmedia.com/videos

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-19490026 Mon, 17 Aug 2026 07:00:00 +0200 6167 full false ep46 - The fall of LTCM: Bachelier, Merton, and Black–Scholes ... when stochastic control met Wall Street ep46 - The fall of LTCM: Bachelier, Merton, and Black–Scholes ... when stochastic control met Wall Street Outline
00:00 - Intro
02:25 - Bachelier and the Théorie de la Spéculation
03:05 - Stochastic processes, Brownian motion, and the heat equation
09:45 - Poincaré's verdict, obscurity, and rediscovery
13:50 - Robert C. Merton: from hot rods to MIT
19:25 - Dynamic programming and Itô calculus
24:35 - Merton's portfolio problem as stochastic optimal control
31:10 - Options, dynamic hedging, and the Black–Scholes–Merton equation
39:50 - LTCM: the dream team
46:30 - August 1998: the crash
49:00 - Fat tails and the ten-sigma defense
51:40 - The ghosts of 2008 and echoes in the AI boom
54:00 - Robustness embraced at last: Hansen and Sargent
57:45 - Outro

Links
Bachelier's thesis, "Théorie de la Spéculation" (1900): https://www.numdam.org/item/10.24033/asens.476.pdf
Courtault et al., "Louis Bachelier on the Centenary of Théorie de la Spéculation": https://doi.org/10.1111/1467-9965.00098
Merton's Nobel autobiography: https://www.nobelprize.org/prizes/economic-sciences/1997/merton/biographical/
Merton's MIT "Infinite History" interview: https://infinite.mit.edu/video/robert-c-merton-phd-%E2%80%9970/
Mandelbrot, "The Variation of Certain Speculative Prices": https://doi.org/10.1086/294632
Merton, "Optimum Consumption and Portfolio Rules in a Continuous-Time Model": https://doi.org/10.1016/0022-0531(71)90038-X
Moehle & Boyd, "A Certainty Equivalent Merton Problem": https://doi.org/10.1109/LCSYS.2021.3111534
Brigo & Mercurio, "Interest Rate Models: Theory and Practice": https://doi.org/10.1007/978-3-540-34604-3
Armstrong, Brigo & Hanzon, "Optimal Projection Filters with Information Geometry": https://doi.org/10.1007/s41884-023-00108-x
Hu & Zhou, "Constrained Stochastic LQ Control with Random Coefficients, and Application to Portfolio Selection": https://doi.org/10.1137/S0363012904441969
Black & Scholes, "The Pricing of Options and Corporate Liabilities": https://doi.org/10.1086/260062
Merton, "Theory of Rational Option Pricing": https://doi.org/10.2307/3003143
Merton, "Option Pricing When Underlying Stock Returns Are Discontinuous": https://doi.org/10.1016/0304-405X(76)90022-2
Scholes' Nobel lecture: https://www.nobelprize.org/prizes/economic-sciences/1997/scholes/lecture/
Merton's Nobel lecture: https://www.nobelprize.org/prizes/economic-sciences/1997/merton/lecture/
Markowitz, "Portfolio Selection": https://doi.org/10.2307/2975974
Michael Lewis, "Liar's Poker": https://en.wikipedia.org/wiki/Liar%27s_Poker
Edwards, "Hedge Funds and the Collapse of Long-Term Capital Management": https://doi.org/10.1257/jep.13.2.189
Lowenstein, "When Genius Failed": https://en.wikipedia.org/wiki/When_Genius_Failed
Taleb, "Statistical Consequences of Fat Tails": https://arxiv.org/abs/2001.10488
Taleb & West, "Working with Convex Responses: Antifragility from Finance to Oncology": https://doi.org/10.3390/e25020343
Taleb, "The Black Swan": https://en.wikipedia.org/wiki/The_Black_Swan:_The_Impact_of_the_Highly_Improbable
Taleb, "Fooled by Randomness": https://en.wikipedia.org/wiki/Fooled_by_Randomness
Man Group, "The AI Bubble: Hidden Risks and Opportunities": https://www.man.com/insights/the-ai-bubble
Sen. Warren's remarks at the Vanderbilt Policy Accelerator: https://www.banking.senate.gov/newsroom/minority/warren-remarks-at-vanderbilt-policy-accelerator-event-highlighting-economic-and-financial-risks-of-potential-ai-crash
Meng & Chen, "Artificial Intelligence and Systemic Risk": https://arxiv.org/abs/2604.03272
Doyle, "Guaranteed Margins for LQG Regulators": https://doi.org/10.1109/TAC.1978.1101791
Safonov & Athans, "Gain and Phase Margin for Multiloop LQG Regulators": https://doi.org/10.1109/TAC.1977.1101470
Hansen & Sargent, "Robust Control and Model Uncertainty": https://doi.org/10.1257/aer.91.2.60
Hansen & Sargent, "Wanting Robustness in Macroeconomics": http://www.tomsargent.com/research/wanting.pdf

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:25 - Bachelier and the Théorie de la Spéculation
03:05 - Stochastic processes, Brownian motion, and the heat equation
09:45 - Poincaré's verdict, obscurity, and rediscovery
13:50 - Robert C. Merton: from hot rods to MIT
19:25 - Dynamic programming and Itô calculus
24:35 - Merton's portfolio problem as stochastic optimal control
31:10 - Options, dynamic hedging, and the Black–Scholes–Merton equation
39:50 - LTCM: the dream team
46:30 - August 1998: the crash
49:00 - Fat tails and the ten-sigma defense
51:40 - The ghosts of 2008 and echoes in the AI boom
54:00 - Robustness embraced at last: Hansen and Sargent
57:45 - Outro

Links
Bachelier's thesis, "Théorie de la Spéculation" (1900): https://www.numdam.org/item/10.24033/asens.476.pdf
Courtault et al., "Louis Bachelier on the Centenary of Théorie de la Spéculation": https://doi.org/10.1111/1467-9965.00098
Merton's Nobel autobiography: https://www.nobelprize.org/prizes/economic-sciences/1997/merton/biographical/
Merton's MIT "Infinite History" interview: https://infinite.mit.edu/video/robert-c-merton-phd-%E2%80%9970/
Mandelbrot, "The Variation of Certain Speculative Prices": https://doi.org/10.1086/294632
Merton, "Optimum Consumption and Portfolio Rules in a Continuous-Time Model": https://doi.org/10.1016/0022-0531(71)90038-X
Moehle & Boyd, "A Certainty Equivalent Merton Problem": https://doi.org/10.1109/LCSYS.2021.3111534
Brigo & Mercurio, "Interest Rate Models: Theory and Practice": https://doi.org/10.1007/978-3-540-34604-3
Armstrong, Brigo & Hanzon, "Optimal Projection Filters with Information Geometry": https://doi.org/10.1007/s41884-023-00108-x
Hu & Zhou, "Constrained Stochastic LQ Control with Random Coefficients, and Application to Portfolio Selection": https://doi.org/10.1137/S0363012904441969
Black & Scholes, "The Pricing of Options and Corporate Liabilities": https://doi.org/10.1086/260062
Merton, "Theory of Rational Option Pricing": https://doi.org/10.2307/3003143
Merton, "Option Pricing When Underlying Stock Returns Are Discontinuous": https://doi.org/10.1016/0304-405X(76)90022-2
Scholes' Nobel lecture: https://www.nobelprize.org/prizes/economic-sciences/1997/scholes/lecture/
Merton's Nobel lecture: https://www.nobelprize.org/prizes/economic-sciences/1997/merton/lecture/
Markowitz, "Portfolio Selection": https://doi.org/10.2307/2975974
Michael Lewis, "Liar's Poker": https://en.wikipedia.org/wiki/Liar%27s_Poker
Edwards, "Hedge Funds and the Collapse of Long-Term Capital Management": https://doi.org/10.1257/jep.13.2.189
Lowenstein, "When Genius Failed": https://en.wikipedia.org/wiki/When_Genius_Failed
Taleb, "Statistical Consequences of Fat Tails": https://arxiv.org/abs/2001.10488
Taleb & West, "Working with Convex Responses: Antifragility from Finance to Oncology": https://doi.org/10.3390/e25020343
Taleb, "The Black Swan": https://en.wikipedia.org/wiki/The_Black_Swan:_The_Impact_of_the_Highly_Improbable
Taleb, "Fooled by Randomness": https://en.wikipedia.org/wiki/Fooled_by_Randomness
Man Group, "The AI Bubble: Hidden Risks and Opportunities": https://www.man.com/insights/the-ai-bubble
Sen. Warren's remarks at the Vanderbilt Policy Accelerator: https://www.banking.senate.gov/newsroom/minority/warren-remarks-at-vanderbilt-policy-accelerator-event-highlighting-economic-and-financial-risks-of-potential-ai-crash
Meng & Chen, "Artificial Intelligence and Systemic Risk": https://arxiv.org/abs/2604.03272
Doyle, "Guaranteed Margins for LQG Regulators": https://doi.org/10.1109/TAC.1978.1101791
Safonov & Athans, "Gain and Phase Margin for Multiloop LQG Regulators": https://doi.org/10.1109/TAC.1977.1101470
Hansen & Sargent, "Robust Control and Model Uncertainty": https://doi.org/10.1257/aer.91.2.60
Hansen & Sargent, "Wanting Robustness in Macroeconomics": http://www.tomsargent.com/research/wanting.pdf

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-19365376 Wed, 15 Jul 2026 08:00:00 +0200 3650 4 8 full false ep45 - Peter Caines: from stochastic and adaptive control to mean field games, graphons, and beyond! ep45 - Peter Caines: from stochastic and adaptive control to mean field games, graphons, and beyond! Outline
00:00 - Intro
02:10 - London in the 1960s
12:40 - From Oxford to Imperial College: David Mayne and the discrete-time Riccati equation
18:05 - The "global tour": Montenegro roads, hitch-hiking to Istanbul, and the San Francisco waterfront
22:30 - Feedback and causality between stochastic processes
31:15 - The system identification years
40:50 - Model complexity, the bias–variance trade-off, and concentration inequalities
52:05 - Adaptive control: living through a golden era
1:00:30 - McGill, George Zames, and CIFAR's "institute without walls," and COCOLOG
1:09:45 - Mean field games: the China connection, the cell-phone problem, and Nash Certainty Equivalence
1:20:15 - The Lasry–Lions simultaneous discovery
1:24:40 - From graphons to graphexons: sparse networks, Laplexions, and geometry
1:31:00 - Linear Stochastic Systems, Popper, and falsifiability
1:35:20 - Advice to young researchers
1:38:00 - Outro

Links
Peter Caines' website: https://www.mcgill.ca/cim/caines
Linear Stochastic Systems: https://epubs.siam.org/doi/book/10.1137/1.9781611974713
  On the discrete-time matrix Riccati equation of optimal control: https://doi.org/10.1080/00207177008931892
Feedback between stationary stochastic processes: https://doi.org/10.1109/TAC.1975.1101008
Prediction-error identification methods for stationary stochastic processes: https://doi.org/10.1109/TAC.1976.1101304
Asymptotic normality of prediction-error estimators for approximate system models: https://doi.org/10.1109/CDC.1978.268066
Discrete-time multivariable adaptive control (Axelby Award): https://doi.org/10.1109/TAC.1980.1102363
Discrete-time stochastic adaptive control: https://doi.org/10.1137/0319052
25 seminal control papers of the 20th century: https://books.google.ca/books/about/Control_Theory.html?id=eVhGAAAAYAAJ
COCOLOG: A conditional observer and controller logic for finite machines: https://epubs.siam.org/doi/10.1137/S0363012992226636
Hierarchical hybrid control systems: https://doi.org/10.1109/9.664153
On the hybrid optimal control problem: https://ieeexplore.ieee.org/document/4303244
Bode Lecture: https://ieeecss.org/presentation/bode-lecture/mean-field-stochastic-control
The cell-phone problem - Large population stochastic wireless power control: https://doi.org/10.1109/CDC.2003.1272542
Large-population stochastic dynamic games - McKean-Vlasov and the Nash Certainty Equivalence principle: https://projecteuclid.org/journals/communications-in-information-and-systems/volume-6/issue-3/Large-population-stochastic-dynamic-games--closed-loop-McKean-Vlasov/cis/1183728987.full
Large-population cost-coupled LQG with nonuniform agents and decentralized ε-Nash equilibria: https://doi.org/10.1109/TAC.2007.904450
Social optima in mean field LQG control: https://doi.org/10.1109/TAC.2012.2183439
ε-Nash mean field games with major and minor agents: https://arxiv.org/abs/1209.5684
Graphon mean field games and their equations: https://doi.org/10.1137/20M136373X
Mean field games on large sparse network limits - Laplexion dynamics on graphexons: https://www.sciencedirect.com/science/article/pii/S240589632500388X
Murray Wonham oral history: https://www.youtube.com/watch?v=8IBZyRo0vDk

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
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RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
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Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:10 - London in the 1960s
12:40 - From Oxford to Imperial College: David Mayne and the discrete-time Riccati equation
18:05 - The "global tour": Montenegro roads, hitch-hiking to Istanbul, and the San Francisco waterfront
22:30 - Feedback and causality between stochastic processes
31:15 - The system identification years
40:50 - Model complexity, the bias–variance trade-off, and concentration inequalities
52:05 - Adaptive control: living through a golden era
1:00:30 - McGill, George Zames, and CIFAR's "institute without walls," and COCOLOG
1:09:45 - Mean field games: the China connection, the cell-phone problem, and Nash Certainty Equivalence
1:20:15 - The Lasry–Lions simultaneous discovery
1:24:40 - From graphons to graphexons: sparse networks, Laplexions, and geometry
1:31:00 - Linear Stochastic Systems, Popper, and falsifiability
1:35:20 - Advice to young researchers
1:38:00 - Outro

Links
Peter Caines' website: https://www.mcgill.ca/cim/caines
Linear Stochastic Systems: https://epubs.siam.org/doi/book/10.1137/1.9781611974713
  On the discrete-time matrix Riccati equation of optimal control: https://doi.org/10.1080/00207177008931892
Feedback between stationary stochastic processes: https://doi.org/10.1109/TAC.1975.1101008
Prediction-error identification methods for stationary stochastic processes: https://doi.org/10.1109/TAC.1976.1101304
Asymptotic normality of prediction-error estimators for approximate system models: https://doi.org/10.1109/CDC.1978.268066
Discrete-time multivariable adaptive control (Axelby Award): https://doi.org/10.1109/TAC.1980.1102363
Discrete-time stochastic adaptive control: https://doi.org/10.1137/0319052
25 seminal control papers of the 20th century: https://books.google.ca/books/about/Control_Theory.html?id=eVhGAAAAYAAJ
COCOLOG: A conditional observer and controller logic for finite machines: https://epubs.siam.org/doi/10.1137/S0363012992226636
Hierarchical hybrid control systems: https://doi.org/10.1109/9.664153
On the hybrid optimal control problem: https://ieeexplore.ieee.org/document/4303244
Bode Lecture: https://ieeecss.org/presentation/bode-lecture/mean-field-stochastic-control
The cell-phone problem - Large population stochastic wireless power control: https://doi.org/10.1109/CDC.2003.1272542
Large-population stochastic dynamic games - McKean-Vlasov and the Nash Certainty Equivalence principle: https://projecteuclid.org/journals/communications-in-information-and-systems/volume-6/issue-3/Large-population-stochastic-dynamic-games--closed-loop-McKean-Vlasov/cis/1183728987.full
Large-population cost-coupled LQG with nonuniform agents and decentralized ε-Nash equilibria: https://doi.org/10.1109/TAC.2007.904450
Social optima in mean field LQG control: https://doi.org/10.1109/TAC.2012.2183439
ε-Nash mean field games with major and minor agents: https://arxiv.org/abs/1209.5684
Graphon mean field games and their equations: https://doi.org/10.1137/20M136373X
Mean field games on large sparse network limits - Laplexion dynamics on graphexons: https://www.sciencedirect.com/science/article/pii/S240589632500388X
Murray Wonham oral history: https://www.youtube.com/watch?v=8IBZyRo0vDk

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-19168048 Mon, 15 Jun 2026 08:00:00 +0200 5542 4 7 full false ep44 - Mario di Bernardo: From Circuits to Cells and Swarms — Control meets Complexity ep44 - Mario di Bernardo: From Circuits to Cells and Swarms — Control meets Complexity Outline
00:00 - Intro
01:30 - Origin story: Naples, electrical engineering, and the fascination with chaos
08:00 - What is chaos?
15:00 - DC-DC converters and discontinuity-induced bifurcations
22:00 - Piecewise-smooth dynamical systems
26:55 - Complex networks, synchronization, and pinning control
40:30- Synthetic biology: from gene regulatory networks to multicellular control
58:00 - COVID-19: a network epidemic model for Italy
1:02:00 - Multiscale control, statistical mechanics, and physics-informed control
1:19:10 - State of the field and the IEEE CSS
1:26:35 - Advice to young researchers
1:29:00 - Outro

Links
Mario's website: https://sites.google.com/site/dibernardogroup/home
Scuola Superiore Meridionale: https://www.ssm.unina.it/
Chaos by James Gleick: https://en.wikipedia.org/wiki/Chaos:_Making_a_New_Science
Control of chaos:https://en.wikipedia.org/wiki/Control_of_chaos
Erasmus programme: https://en.wikipedia.org/wiki/Erasmus_Programme
An Adaptive Approach to the Control and Synchronization of Continuous-time Chaotic Systems: https://doi.org/10.1142/S0218127496000254
Piecewise-smooth Dynamical Systems: Theory and Applications: https://doi.org/10.1007/978-1-84628-708-4 
Bifurcations in nonsmooth dynamical systems: https://doi.org/10.1137/050625060 Controllability of complex networks via pinning:
https://doi.org/10.1103/PhysRevE.75.046103 
Criteria for global pinning-controllability of complex networks: https://doi.org/10.1016/j.automatica.2008.07.007
Controllability of complex networks: https://doi.org/10.1038/nature10011
Controlling complex networks with complex nodes: https://doi.org/10.1038/s42254-023-00566-3
Analysis, design and implementation of a novel scheme for in-vivo control of synthetic gene regulatory networks: https://doi.org/10.1016/j.automatica.2011.01.073
In-vivo Real-time Control of Protein Expression from Endogenous and Synthetic Gene Networks: https://doi.org/10.1371/journal.pcbi.1003625
A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic: https://doi.org/10.1038/s41467-020-18827-5
A Continuification-Based Control Solution for Large-Scale Shepherding: 
https://arxiv.org/abs/2411.04791
Shepherding control and herdability in complex multiagent systems: https://doi.org/10.1103/PhysRevResearch.6.L032012
Nonreciprocal field theory for decision-making in multi-agent control systems: https://doi.org/10.1038/s41467-025-63071-4

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:30 - Origin story: Naples, electrical engineering, and the fascination with chaos
08:00 - What is chaos?
15:00 - DC-DC converters and discontinuity-induced bifurcations
22:00 - Piecewise-smooth dynamical systems
26:55 - Complex networks, synchronization, and pinning control
40:30- Synthetic biology: from gene regulatory networks to multicellular control
58:00 - COVID-19: a network epidemic model for Italy
1:02:00 - Multiscale control, statistical mechanics, and physics-informed control
1:19:10 - State of the field and the IEEE CSS
1:26:35 - Advice to young researchers
1:29:00 - Outro

Links
Mario's website: https://sites.google.com/site/dibernardogroup/home
Scuola Superiore Meridionale: https://www.ssm.unina.it/
Chaos by James Gleick: https://en.wikipedia.org/wiki/Chaos:_Making_a_New_Science
Control of chaos:https://en.wikipedia.org/wiki/Control_of_chaos
Erasmus programme: https://en.wikipedia.org/wiki/Erasmus_Programme
An Adaptive Approach to the Control and Synchronization of Continuous-time Chaotic Systems: https://doi.org/10.1142/S0218127496000254
Piecewise-smooth Dynamical Systems: Theory and Applications: https://doi.org/10.1007/978-1-84628-708-4 
Bifurcations in nonsmooth dynamical systems: https://doi.org/10.1137/050625060 Controllability of complex networks via pinning:
https://doi.org/10.1103/PhysRevE.75.046103 
Criteria for global pinning-controllability of complex networks: https://doi.org/10.1016/j.automatica.2008.07.007
Controllability of complex networks: https://doi.org/10.1038/nature10011
Controlling complex networks with complex nodes: https://doi.org/10.1038/s42254-023-00566-3
Analysis, design and implementation of a novel scheme for in-vivo control of synthetic gene regulatory networks: https://doi.org/10.1016/j.automatica.2011.01.073
In-vivo Real-time Control of Protein Expression from Endogenous and Synthetic Gene Networks: https://doi.org/10.1371/journal.pcbi.1003625
A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic: https://doi.org/10.1038/s41467-020-18827-5
A Continuification-Based Control Solution for Large-Scale Shepherding: 
https://arxiv.org/abs/2411.04791
Shepherding control and herdability in complex multiagent systems: https://doi.org/10.1103/PhysRevResearch.6.L032012
Nonreciprocal field theory for decision-making in multi-agent control systems: https://doi.org/10.1038/s41467-025-63071-4

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-19167890 Fri, 15 May 2026 07:00:00 +0200 5373 4 6 full true ep43 - Steve Brunton: DMD, Koopman, SINDy, Eigensteve Channel, HydroGym, Optimization, and much more ep43 - Steve Brunton: DMD, Koopman, SINDy, Eigensteve Channel, HydroGym, Optimization, and much more Outline
00:00 - Intro
01:15 - Origin story: early path and the road to science 
04:20 - On graphical visualization and aphantasia 
08:08 - The interest in fluid dynamics 
12:00 - Caltech, Jerry Marsden, and the move to the Pacific time zone 
19:43 - Dynamic Mode Decomposition (DMD) and the Koopman operator 
27:15 - On teaching and the Eigensteve channel 
39:22 - SINDy: Sparse Identification of Nonlinear Dynamics 
45:45 - Automatic knowledge creation and Explainable AI 
54:31 - HydroGym: RL benchmarks for fluid flow control 
1:01:37 - Optimization boot camp 
1:05:31 - Collimator 
1:13:18 - Outro

Links
Steve's website: https://www.eigensteve.com/
Eigensteve channel: https://www.youtube.com/c/eigensteve
Jerrold E. Marsden: https://en.wikipedia.org/wiki/Jerrold_E._Marsden
Aphantasia: https://en.wikipedia.org/wiki/Aphantasia
J. Nathan Kutz: https://amath.washington.edu/people/j-nathan-kutz
Clarence W. Rowley: https://cwrowley.princeton.edu/
DMD: https://en.wikipedia.org/wiki/Dynamic_mode_decomposition
Koopman operator: https://en.wikipedia.org/wiki/Koopman_operator
Dynamic Mode Decomposition book: https://epubs.siam.org/doi/book/10.1137/1.9781611974508
On Dynamic Mode Decomposition paper: https://doi.org/10.3934/jcd.2014.1.391
DMD with control: https://arxiv.org/abs/1409.6358
Compressed sensing and DMD: https://doi.org/10.3934/jcd.2015002
Modern Koopman Theory for Dynamical Systems: https://arxiv.org/abs/2102.12086
Deep learning for universal linear embeddings of nonlinear dynamics: https://doi.org/10.1038/s41467-018-07210-0
Data-driven discovery of Koopman eigenfunctions for control: https://doi.org/10.1088/2632-2153/abf0f5
PyDMD: https://github.com/PyDMD
Discovering governing equations from data by sparse identification of nonlinear dynamical systems: https://doi.org/10.1073/pnas.1517384113
Data-driven discovery of partial differential equations:
https://doi.org/10.1126/sciadv.1602614
SINDy for model predictive control in the low-data limit:
https://doi.org/10.1098/rspa.2018.0335
PySINDy: https://github.com/dynamicslab/pysindy
SINDy with control: https://arxiv.org/abs/2108.13404
SINDy review: https://doi.org/10.1146/annurev-control-030123-015238
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control: http://www.databookuw.com
Explainable AI: Learning from the Learners: https://arxiv.org/abs/2601.05525
HydroGym: https://github.com/dynamicslab/hydrogym

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:15 - Origin story: early path and the road to science 
04:20 - On graphical visualization and aphantasia 
08:08 - The interest in fluid dynamics 
12:00 - Caltech, Jerry Marsden, and the move to the Pacific time zone 
19:43 - Dynamic Mode Decomposition (DMD) and the Koopman operator 
27:15 - On teaching and the Eigensteve channel 
39:22 - SINDy: Sparse Identification of Nonlinear Dynamics 
45:45 - Automatic knowledge creation and Explainable AI 
54:31 - HydroGym: RL benchmarks for fluid flow control 
1:01:37 - Optimization boot camp 
1:05:31 - Collimator 
1:13:18 - Outro

Links
Steve's website: https://www.eigensteve.com/
Eigensteve channel: https://www.youtube.com/c/eigensteve
Jerrold E. Marsden: https://en.wikipedia.org/wiki/Jerrold_E._Marsden
Aphantasia: https://en.wikipedia.org/wiki/Aphantasia
J. Nathan Kutz: https://amath.washington.edu/people/j-nathan-kutz
Clarence W. Rowley: https://cwrowley.princeton.edu/
DMD: https://en.wikipedia.org/wiki/Dynamic_mode_decomposition
Koopman operator: https://en.wikipedia.org/wiki/Koopman_operator
Dynamic Mode Decomposition book: https://epubs.siam.org/doi/book/10.1137/1.9781611974508
On Dynamic Mode Decomposition paper: https://doi.org/10.3934/jcd.2014.1.391
DMD with control: https://arxiv.org/abs/1409.6358
Compressed sensing and DMD: https://doi.org/10.3934/jcd.2015002
Modern Koopman Theory for Dynamical Systems: https://arxiv.org/abs/2102.12086
Deep learning for universal linear embeddings of nonlinear dynamics: https://doi.org/10.1038/s41467-018-07210-0
Data-driven discovery of Koopman eigenfunctions for control: https://doi.org/10.1088/2632-2153/abf0f5
PyDMD: https://github.com/PyDMD
Discovering governing equations from data by sparse identification of nonlinear dynamical systems: https://doi.org/10.1073/pnas.1517384113
Data-driven discovery of partial differential equations:
https://doi.org/10.1126/sciadv.1602614
SINDy for model predictive control in the low-data limit:
https://doi.org/10.1098/rspa.2018.0335
PySINDy: https://github.com/dynamicslab/pysindy
SINDy with control: https://arxiv.org/abs/2108.13404
SINDy review: https://doi.org/10.1146/annurev-control-030123-015238
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control: http://www.databookuw.com
Explainable AI: Learning from the Learners: https://arxiv.org/abs/2601.05525
HydroGym: https://github.com/dynamicslab/hydrogym

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18960945 Wed, 15 Apr 2026 08:00:00 +0200 4462 4 5 full false ep42 - inControl guide to ... the Nyquist criterion ep42 - inControl guide to ... the Nyquist criterion Outline

00:00 – Intro
04:43 – Life and background
08:45 – Bell Labs
13:42 – Inventing the negative feedback amplifier
18:15 – Nyquist's landmark contributions
20:43 – Regeneration theory
27:10 – Frequency response
32:03 – Cauchy’s argument principle
36:05 – The Nyquist criterion
41:37 – Why is it so hard?
45:27 – Robustness, margins, and practical aspects
56:41 – Beyond the Nyquist criterion
1:04:25 – Pitfalls and common misunderstandings
1:07:00 – Outro

Links

Brian Douglas's video: http://y2u.be/sof3meN96MA
The Idea Factory: https://en.wikipedia.org/wiki/The_Idea_Factory
Inventing the Negative Feedback Amplifier: https://doi.org/10.1109/MSPEC.1977.6501721
Johnson–Nyquist noise:  https://doi.org/10.1103/PhysRev.32.110
Nyquist sampling theorem: https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem
Regeneration theory: https://doi.org/10.1002/j.1538-7305.1932.tb02344.x
Gain and phase margins: https://en.wikipedia.org/wiki/Bode_plot#Gain_margin_and_phase_margin
Routh–Hurwitz criterion: https://en.wikipedia.org/wiki/Routh%E2%80%93Hurwitz_stability_criterion
Åström’s lecture: https://archive.control.lth.se/media/Staff/KarlJohanAstrom/Lectures/ASMENyquistLecture2005.pdf
Scale-Relative Graphs: https://doi.org/10.1109/TAC.2023.3234016

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline

00:00 – Intro
04:43 – Life and background
08:45 – Bell Labs
13:42 – Inventing the negative feedback amplifier
18:15 – Nyquist's landmark contributions
20:43 – Regeneration theory
27:10 – Frequency response
32:03 – Cauchy’s argument principle
36:05 – The Nyquist criterion
41:37 – Why is it so hard?
45:27 – Robustness, margins, and practical aspects
56:41 – Beyond the Nyquist criterion
1:04:25 – Pitfalls and common misunderstandings
1:07:00 – Outro

Links

Brian Douglas's video: http://y2u.be/sof3meN96MA
The Idea Factory: https://en.wikipedia.org/wiki/The_Idea_Factory
Inventing the Negative Feedback Amplifier: https://doi.org/10.1109/MSPEC.1977.6501721
Johnson–Nyquist noise:  https://doi.org/10.1103/PhysRev.32.110
Nyquist sampling theorem: https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem
Regeneration theory: https://doi.org/10.1002/j.1538-7305.1932.tb02344.x
Gain and phase margins: https://en.wikipedia.org/wiki/Bode_plot#Gain_margin_and_phase_margin
Routh–Hurwitz criterion: https://en.wikipedia.org/wiki/Routh%E2%80%93Hurwitz_stability_criterion
Åström’s lecture: https://archive.control.lth.se/media/Staff/KarlJohanAstrom/Lectures/ASMENyquistLecture2005.pdf
Scale-Relative Graphs: https://doi.org/10.1109/TAC.2023.3234016

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18850371 Mon, 16 Mar 2026 08:00:00 +0100 4184 4 4 full false ep41 - A minimal history of optimal control ep41 - A minimal history of optimal control Outline
00:00 - Intro
02:55 - Brachistochrone problem
20:52 - Beginning of the calculus of variations
32:00 - Principle of least action
42:37 - Maximum principle
1:02:35 - Dynamic programming
1:11:12 - Linear quadratic control
1:16:37 - Beyond optimal control: games, nonsmooth analysis, MPC, RL
1:28:40 - Outro

Links
300 years of optimal control: https://tinyurl.com/2s3t8se4
Brachistochrone: https://tinyurl.com/mwmv38ew
Acta Eruditorum, 1696: https://tinyurl.com/55yf5v49
Acta Eruditorum, 1697: https://tinyurl.com/2a7msaaj
Bernoulli family: https://tinyurl.com/y2vx2xdn
Leibniz–Newton calculus controversy: https://tinyurl.com/3974fdhd
Calculus of variations: https://tinyurl.com/3vvz8tuf
Beginning of the Calculus of Variations: https://tinyurl.com/mv6btxfn
Lagrangian mechanics: https://tinyurl.com/ycx5fv46
Euler–Lagrange equation: https://tinyurl.com/53yybvyx
Hamiltonian mechanics: https://tinyurl.com/yfrd8zhz
Hamilton–Jacobi equation: https://tinyurl.com/46m9cuvs
Pontryagin: https://tinyurl.com/35ehxnex
Pontryagin’s autobiography:  https://ega-math.narod.ru/LSP/book.htm
Discovery of the Maximum Principle: https://tinyurl.com/3s43nv4t
Maximum Principle: https://tinyurl.com/4f7352t4
Goddard problem: https://tinyurl.com/5n8swp2m
Hamilton–Jacobi–Bellman equation: https://tinyurl.com/4uemn5y4
Kalman filter: https://tinyurl.com/39zx5yry
Clarke: https://tinyurl.com/yj2tzcjb
MPC: https://tinyurl.com/4sf5pzvy
RL: https://tinyurl.com/ee5ne7sz
AlphaGo: https://tinyurl.com/ydrf8jsc

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:55 - Brachistochrone problem
20:52 - Beginning of the calculus of variations
32:00 - Principle of least action
42:37 - Maximum principle
1:02:35 - Dynamic programming
1:11:12 - Linear quadratic control
1:16:37 - Beyond optimal control: games, nonsmooth analysis, MPC, RL
1:28:40 - Outro

Links
300 years of optimal control: https://tinyurl.com/2s3t8se4
Brachistochrone: https://tinyurl.com/mwmv38ew
Acta Eruditorum, 1696: https://tinyurl.com/55yf5v49
Acta Eruditorum, 1697: https://tinyurl.com/2a7msaaj
Bernoulli family: https://tinyurl.com/y2vx2xdn
Leibniz–Newton calculus controversy: https://tinyurl.com/3974fdhd
Calculus of variations: https://tinyurl.com/3vvz8tuf
Beginning of the Calculus of Variations: https://tinyurl.com/mv6btxfn
Lagrangian mechanics: https://tinyurl.com/ycx5fv46
Euler–Lagrange equation: https://tinyurl.com/53yybvyx
Hamiltonian mechanics: https://tinyurl.com/yfrd8zhz
Hamilton–Jacobi equation: https://tinyurl.com/46m9cuvs
Pontryagin: https://tinyurl.com/35ehxnex
Pontryagin’s autobiography:  https://ega-math.narod.ru/LSP/book.htm
Discovery of the Maximum Principle: https://tinyurl.com/3s43nv4t
Maximum Principle: https://tinyurl.com/4f7352t4
Goddard problem: https://tinyurl.com/5n8swp2m
Hamilton–Jacobi–Bellman equation: https://tinyurl.com/4uemn5y4
Kalman filter: https://tinyurl.com/39zx5yry
Clarke: https://tinyurl.com/yj2tzcjb
MPC: https://tinyurl.com/4sf5pzvy
RL: https://tinyurl.com/ee5ne7sz
AlphaGo: https://tinyurl.com/ydrf8jsc

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18684924 Mon, 16 Feb 2026 08:00:00 +0100 5512 4 3 full false ep40 - Jeff Shamma: gain scheduling, nonlinear control, learning & dissipativity in games, jiu-jitsu ep40 - Jeff Shamma: gain scheduling, nonlinear control, learning & dissipativity in games, jiu-jitsu Outline
00:00 - Intro
03:18 - Early days: why control, M. Athans, and IDSS
12:21 - What is gain scheduling?
33:37 - Paradigm shifts & the ‘90s: Minnesota → Texas → LA
42:19 - Robustness & fundamental limitations of nonlinear systems
57:35 - Set-valued control & estimation
01:04:52 - Game theory & multi-agent control
01:28:18 - Learning & dissipativity in games & multi agent AI
01:45:03 - KAUST: building something new
01:53:33 - On human-algorithmic interaction
01:59:07 - Advice to future students: control, jiu-jitsu, and chatbots in education
2:10:02 - Outro

Links
Jeff’s website: https://tinyurl.com/52btmmz7
CSM interview: https://tinyurl.com/49wh98x7
Domain: feedbackcontrol.com
M. Athans: https://tinyurl.com/nhbw66wa
PhD thesis: https://tinyurl.com/5eyxkfm6
IDSS: https://tinyurl.com/bdenwy6d
Research on gain scheduling: https://tinyurl.com/55se8zcr
Overview of LPV systems: https://tinyurl.com/3ksff58b
Åström’s lecture: https://tinyurl.com/33mxkkfe
Necessity of the small gain theorem: https://tinyurl.com/mjn9eeb4
Sensitivity reduction for nonlinear plants: https://tinyurl.com/23tej5yp
Respect the unstable: https://tinyurl.com/3yww5eds
Differential inclusion: https://tinyurl.com/4yvc8vcc
Lectures on game theory: https://tinyurl.com/4z8hh3rn
Dynamic fictitious play: https://tinyurl.com/yc6wsxjj
Cooperative control and potential games: https://tinyurl.com/4hbmrt72
Dissipativity theory in game theory: https://tinyurl.com/3theyc7x
Population games, stable games, and passivity: https://tinyurl.com/zxwtzv6w
Game theory and control: https://tinyurl.com/yencrwm3
Higher-order uncoupled learning: https://tinyurl.com/376r5r9x

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
03:18 - Early days: why control, M. Athans, and IDSS
12:21 - What is gain scheduling?
33:37 - Paradigm shifts & the ‘90s: Minnesota → Texas → LA
42:19 - Robustness & fundamental limitations of nonlinear systems
57:35 - Set-valued control & estimation
01:04:52 - Game theory & multi-agent control
01:28:18 - Learning & dissipativity in games & multi agent AI
01:45:03 - KAUST: building something new
01:53:33 - On human-algorithmic interaction
01:59:07 - Advice to future students: control, jiu-jitsu, and chatbots in education
2:10:02 - Outro

Links
Jeff’s website: https://tinyurl.com/52btmmz7
CSM interview: https://tinyurl.com/49wh98x7
Domain: feedbackcontrol.com
M. Athans: https://tinyurl.com/nhbw66wa
PhD thesis: https://tinyurl.com/5eyxkfm6
IDSS: https://tinyurl.com/bdenwy6d
Research on gain scheduling: https://tinyurl.com/55se8zcr
Overview of LPV systems: https://tinyurl.com/3ksff58b
Åström’s lecture: https://tinyurl.com/33mxkkfe
Necessity of the small gain theorem: https://tinyurl.com/mjn9eeb4
Sensitivity reduction for nonlinear plants: https://tinyurl.com/23tej5yp
Respect the unstable: https://tinyurl.com/3yww5eds
Differential inclusion: https://tinyurl.com/4yvc8vcc
Lectures on game theory: https://tinyurl.com/4z8hh3rn
Dynamic fictitious play: https://tinyurl.com/yc6wsxjj
Cooperative control and potential games: https://tinyurl.com/4hbmrt72
Dissipativity theory in game theory: https://tinyurl.com/3theyc7x
Population games, stable games, and passivity: https://tinyurl.com/zxwtzv6w
Game theory and control: https://tinyurl.com/yencrwm3
Higher-order uncoupled learning: https://tinyurl.com/376r5r9x

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18482182 Thu, 15 Jan 2026 08:00:00 +0100 7872 4 2 full true ep39 - Female influencers in control ep39 - Female influencers in control Outline

00:00 - Intro

05:01 - Female Influencers in Control — The Backstory

08:08 - Sofya Kovalevskaya

15:21 - Irmgard Lotz

26:16 - A new wave of control influencers

34:26 - Some data

43:38 - What can one do? 

1:00:10 - Exhibition + survey

1:05:21 - Outro


Links
Female influencers in control project: https://tinyurl.com/mv879ahf

Charlotta Johnsson: https://tinyurl.com/343esbeu

Eva Westin: https://tinyurl.com/3p6fd5n8

Margret Bauer: https://tinyurl.com/47d35xzb

Sofya Kovalevskaya: https://tinyurl.com/4mmzruwc

Remembering Sofya Kovalevskaya: https://tinyurl.com/4cpw7vff

Irmgard Lotz: https://tinyurl.com/y2exmndm

Flow Computation Pioneer Irmgard Flügge-Lotz (1903–1974): https://tinyurl.com/4cy3xsp3

Discontinuous Automatic Control: https://tinyurl.com/yeys5dxx

Historical Female Influencers in Automatic Control: https://tinyurl.com/yxw4bjxe

Activity report: https://tinyurl.com/jwzn4z3c


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline

00:00 - Intro

05:01 - Female Influencers in Control — The Backstory

08:08 - Sofya Kovalevskaya

15:21 - Irmgard Lotz

26:16 - A new wave of control influencers

34:26 - Some data

43:38 - What can one do? 

1:00:10 - Exhibition + survey

1:05:21 - Outro


Links
Female influencers in control project: https://tinyurl.com/mv879ahf

Charlotta Johnsson: https://tinyurl.com/343esbeu

Eva Westin: https://tinyurl.com/3p6fd5n8

Margret Bauer: https://tinyurl.com/47d35xzb

Sofya Kovalevskaya: https://tinyurl.com/4mmzruwc

Remembering Sofya Kovalevskaya: https://tinyurl.com/4cpw7vff

Irmgard Lotz: https://tinyurl.com/y2exmndm

Flow Computation Pioneer Irmgard Flügge-Lotz (1903–1974): https://tinyurl.com/4cy3xsp3

Discontinuous Automatic Control: https://tinyurl.com/yeys5dxx

Historical Female Influencers in Automatic Control: https://tinyurl.com/yxw4bjxe

Activity report: https://tinyurl.com/jwzn4z3c


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18361436 Tue, 16 Dec 2025 08:00:00 +0100 3976 4 1 full false ep38 - inControl guide to ... Feedback ep38 - inControl guide to ... Feedback Outline
00:00 – Intro
07:22 – Anatomy of a feedback loop
15:12 – A brief historical recap on the history of feedback
23:40 – Inventing the negative feedback amplifier
34:28 – Feedback in biology, economics, society, and ... board games!
52:44 – Negative vs positive feedback
59:15 – Feedback, causality, and the arrow of time
1:06:22 – Classics: fundamental limitations, uncertainty, robustness
1:21:30 – Adaptive control: learning in the loop
1:29:50 – Modern AI feedback loops (RL, social media, alignment)
1:40:40 – Outro

Links
Watt’s flyball governor: https://tinyurl.com/ne5nene3
Maxwell - "On Governors": https://tinyurl.com/2a7cxj7m
Black - "Inventing the negative-feedback amplifier": https://tinyurl.com/yevsemdp
Nyquist Criterion: https://tinyurl.com/33hfbw8m
Bode's integral: https://tinyurl.com/53sxkdzu
Wiener - "Cybernetics": https://tinyurl.com/yta899ay
Apoptosis: https://tinyurl.com/mcxjycka
Predator–prey dynamics (Lotka–Volterra): https://tinyurl.com/5cvx33tn
Bird migration cues (photoperiodism): https://tinyurl.com/y2e7t22v
Neuron action potentials: https://tinyurl.com/2wemwdn4
Economic equilibrium & feedback: https://tinyurl.com/nhdx7r3s
Echo chambers: https://tinyurl.com/4v8yk7e8
Game design: https://tinyurl.com/bdhdhv38
Gap metric (Vinnicombe): https://tinyurl.com/y9nw3yve
Georgiou, Smith - "Feedback Control and the Arrow of Time": https://tinyurl.com/5xvj76jr
Annaswamy, Fradkov - "A Historical Perspective of Adaptive Control and Learning": https://tinyurl.com/4nfew8vm
Algorithmic trading flash crash (2010): https://tinyurl.com/2dsrs8j2
AI alignment: https://tinyurl.com/yvs3wnj8

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 – Intro
07:22 – Anatomy of a feedback loop
15:12 – A brief historical recap on the history of feedback
23:40 – Inventing the negative feedback amplifier
34:28 – Feedback in biology, economics, society, and ... board games!
52:44 – Negative vs positive feedback
59:15 – Feedback, causality, and the arrow of time
1:06:22 – Classics: fundamental limitations, uncertainty, robustness
1:21:30 – Adaptive control: learning in the loop
1:29:50 – Modern AI feedback loops (RL, social media, alignment)
1:40:40 – Outro

Links
Watt’s flyball governor: https://tinyurl.com/ne5nene3
Maxwell - "On Governors": https://tinyurl.com/2a7cxj7m
Black - "Inventing the negative-feedback amplifier": https://tinyurl.com/yevsemdp
Nyquist Criterion: https://tinyurl.com/33hfbw8m
Bode's integral: https://tinyurl.com/53sxkdzu
Wiener - "Cybernetics": https://tinyurl.com/yta899ay
Apoptosis: https://tinyurl.com/mcxjycka
Predator–prey dynamics (Lotka–Volterra): https://tinyurl.com/5cvx33tn
Bird migration cues (photoperiodism): https://tinyurl.com/y2e7t22v
Neuron action potentials: https://tinyurl.com/2wemwdn4
Economic equilibrium & feedback: https://tinyurl.com/nhdx7r3s
Echo chambers: https://tinyurl.com/4v8yk7e8
Game design: https://tinyurl.com/bdhdhv38
Gap metric (Vinnicombe): https://tinyurl.com/y9nw3yve
Georgiou, Smith - "Feedback Control and the Arrow of Time": https://tinyurl.com/5xvj76jr
Annaswamy, Fradkov - "A Historical Perspective of Adaptive Control and Learning": https://tinyurl.com/4nfew8vm
Algorithmic trading flash crash (2010): https://tinyurl.com/2dsrs8j2
AI alignment: https://tinyurl.com/yvs3wnj8

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18193180 Mon, 17 Nov 2025 08:00:00 +0100 5104 3 12 full false ep37 - A. M. Lyapunov: The General Problem of Stability of Motion ep37 - A. M. Lyapunov: The General Problem of Stability of Motion Outline
00:00 - Intro
03:12 - Early life
09:07 - St. Petersburg: Stability of Ellipsoidal Bodies
20:13 - Kharkov: The General Problem of the Stability of Motion
34:37 - Back to St. Petersburg: Probability & Academy
46:22 - Tragic end
49:50 - Posthumous recognition 
57:49 - Legacy
1:20:39 - Outro

Links
A. M. Lyapunov: https://tinyurl.com/3kjuhfns
S. Lyapunov: https://tinyurl.com/mury7p3s
Smirnov's bio: https://tinyurl.com/6wpffh3z
Bissell's essay: https://tinyurl.com/3ds3hubj
Sechenov: https://tinyurl.com/ypsr37vc
Krylov: https://tinyurl.com/44wez8w5
Krylov subspace: https://tinyurl.com/bw527uh2
Chebyshev: https://tinyurl.com/2n35usfr
The General Problem of Stability of Motion: https://tinyurl.com/mv2jchv2
Lyapunov stability: https://tinyurl.com/bb59vcuf
Central limit theorem: https://tinyurl.com/3r36p458
Van der Pol oscillator: https://tinyurl.com/3s68yyhr
Massera’s theorem: https://tinyurl.com/2zjmtvjw
LaSalle’s invariance principle: https://tinyurl.com/pjnrp3fh
Krasovskii: https://tinyurl.com/junbujsw
Popov criterion: https://tinyurl.com/uyt3kx5b
Control Lyapunov function: https://tinyurl.com/3v7bnusj
Artstein–Sontag formula: https://tinyurl.com/3fdebmm3
Input-to-state stability: https://tinyurl.com/3nca9nj6
Lyapunov equation: https://tinyurl.com/mvakw3yw
Hybrid systems: https://tinyurl.com/v39up6wk
Control barrier function: https://tinyurl.com/sy4p5jj
Dominance theory: https://tinyurl.com/msvnd4dv

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
03:12 - Early life
09:07 - St. Petersburg: Stability of Ellipsoidal Bodies
20:13 - Kharkov: The General Problem of the Stability of Motion
34:37 - Back to St. Petersburg: Probability & Academy
46:22 - Tragic end
49:50 - Posthumous recognition 
57:49 - Legacy
1:20:39 - Outro

Links
A. M. Lyapunov: https://tinyurl.com/3kjuhfns
S. Lyapunov: https://tinyurl.com/mury7p3s
Smirnov's bio: https://tinyurl.com/6wpffh3z
Bissell's essay: https://tinyurl.com/3ds3hubj
Sechenov: https://tinyurl.com/ypsr37vc
Krylov: https://tinyurl.com/44wez8w5
Krylov subspace: https://tinyurl.com/bw527uh2
Chebyshev: https://tinyurl.com/2n35usfr
The General Problem of Stability of Motion: https://tinyurl.com/mv2jchv2
Lyapunov stability: https://tinyurl.com/bb59vcuf
Central limit theorem: https://tinyurl.com/3r36p458
Van der Pol oscillator: https://tinyurl.com/3s68yyhr
Massera’s theorem: https://tinyurl.com/2zjmtvjw
LaSalle’s invariance principle: https://tinyurl.com/pjnrp3fh
Krasovskii: https://tinyurl.com/junbujsw
Popov criterion: https://tinyurl.com/uyt3kx5b
Control Lyapunov function: https://tinyurl.com/3v7bnusj
Artstein–Sontag formula: https://tinyurl.com/3fdebmm3
Input-to-state stability: https://tinyurl.com/3nca9nj6
Lyapunov equation: https://tinyurl.com/mvakw3yw
Hybrid systems: https://tinyurl.com/v39up6wk
Control barrier function: https://tinyurl.com/sy4p5jj
Dominance theory: https://tinyurl.com/msvnd4dv

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-18019902 Thu, 16 Oct 2025 09:00:00 +0200 5074 3 11 full false ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice Outline

00:00 – Intro

00:51 – Early steps in research

09:55 – Historical overview of traffic control

25:20 – What is traffic?

34:06 – Road traffic control

45:37 – PI control of road junctions

58:19 – From macroscopic to microscopic simulations and back

1:10:08 – Dynamic traffic assignment

1:21:28 – Return to Greece

1:28:33 – The optimal control problem

1:41:48 – Traffic estimation

1:47:34 – The impact of automation and connectivity

1:59:20 – Traffic as an artificial fluid

2:07:51 – The future of traffic control

2:10:48 – Advice to future students

2:13:53 – Outro


Link

Homepage: https://tinyurl.com/yw7kee97

CSS day lecture: https://tinyurl.com/46vua4r7

Monograph - Applications of Automatic Control Concepts to Traffic Flow Modeling and Control: https://tinyurl.com/5czax788

Review of road traffic control strategies: https://tinyurl.com/48u235pw

ALINEA: https://tinyurl.com/bdtvny87

METANET: https://tinyurl.com/3h9xv48t

AIMSUM:https://tinyurl.com/mr2xkryj

AMOC: https://tinyurl.com/3v2xysr2

HERO: https://tinyurl.com/yzn6vkwh

Real-time freeway traffic state estimation based on extended Kalman filter: a general approach: https://tinyurl.com/2ubsh7cy

TRAMAN: https://tinyurl.com/ypr65cfa

Coordinated and integrated control of motorway networks via non-linear optimal control: https://tinyurl.com/3v2xysr2

Motorway traffic flow modelling, estimation and control with vehicle automation and communication systems: https://tinyurl.com/49679hy8

From road congestion to vehicle-control enabled artificial traffic fluids: https://tinyurl.com/pk4j8htp

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline

00:00 – Intro

00:51 – Early steps in research

09:55 – Historical overview of traffic control

25:20 – What is traffic?

34:06 – Road traffic control

45:37 – PI control of road junctions

58:19 – From macroscopic to microscopic simulations and back

1:10:08 – Dynamic traffic assignment

1:21:28 – Return to Greece

1:28:33 – The optimal control problem

1:41:48 – Traffic estimation

1:47:34 – The impact of automation and connectivity

1:59:20 – Traffic as an artificial fluid

2:07:51 – The future of traffic control

2:10:48 – Advice to future students

2:13:53 – Outro


Link

Homepage: https://tinyurl.com/yw7kee97

CSS day lecture: https://tinyurl.com/46vua4r7

Monograph - Applications of Automatic Control Concepts to Traffic Flow Modeling and Control: https://tinyurl.com/5czax788

Review of road traffic control strategies: https://tinyurl.com/48u235pw

ALINEA: https://tinyurl.com/bdtvny87

METANET: https://tinyurl.com/3h9xv48t

AIMSUM:https://tinyurl.com/mr2xkryj

AMOC: https://tinyurl.com/3v2xysr2

HERO: https://tinyurl.com/yzn6vkwh

Real-time freeway traffic state estimation based on extended Kalman filter: a general approach: https://tinyurl.com/2ubsh7cy

TRAMAN: https://tinyurl.com/ypr65cfa

Coordinated and integrated control of motorway networks via non-linear optimal control: https://tinyurl.com/3v2xysr2

Motorway traffic flow modelling, estimation and control with vehicle automation and communication systems: https://tinyurl.com/49679hy8

From road congestion to vehicle-control enabled artificial traffic fluids: https://tinyurl.com/pk4j8htp

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-17836860 Mon, 15 Sep 2025 08:00:00 +0200 8066 3 10 full false ep35 - Cosimo Della Santina: From Dexterous Manipulation to Soft Robotics and Embodied Intelligence ep35 - Cosimo Della Santina: From Dexterous Manipulation to Soft Robotics and Embodied Intelligence Outline
00:00 – Intro
01:19 – Early steps: PhD journey & robotic hands
15:42 – What is a soft robot?
23:35 – MIT years & models of soft robots
30:01 – Discretization & underactuation
37:21 – The regulation problem
47:01 – Pros and cons of soft robots
51:42 – The soft inverted pendulum
1:05:27 – Eigenmanifolds
1:15:22 – Physical intelligence
1:26:09 – On machine learning
1:37:49 – Embodied AI & TC on Robot Control
1:44:50 – Advice to future students

Links
- Cosimo’s website: https://tinyurl.com/mt37597k
- Piaggio Center: https://tinyurl.com/muryjw5h
- Pisa Robotic Hand: https://tinyurl.com/4ujtec59
- Model-Based Dynamic Controller for a Planar Soft Robot: https://tinyurl.com/5a8fv3c8
- Soft Robot definition (Encyclopaedia of Robotics): https://tinyurl.com/3y2jz987
- Isidori’s book: https://tinyurl.com/42254hav
- CSM magazine paper: https://tinyurl.com/bd54an6x
- Cosserat rod theory: https://tinyurl.com/zu73nadx
- Strain function: https://tinyurl.com/y8v63ue2
- Zero dynamics: https://tinyurl.com/2ezarn5e
- The soft inverted pendulum: https://tinyurl.com/y4bzkkup
- Templates and anchors: https://tinyurl.com/2957w6sz
- Exciting Efficient Oscillations Through Eigenmanifold Stabilisation: https://tinyurl.com/yc3586y5
- When Do Lyapunov Subcentre Manifolds Become Eigenmanifolds?: https://tinyurl.com/5tckw7xe
- Passive walker: https://tinyurl.com/yjwwapv5
- Strandbeests: https://tinyurl.com/494mfccu
- Physical control: https://tinyurl.com/bdddb6ur
- Morphological computation: https://tinyurl.com/an6vaahx
- The Playful Machine: https://tinyurl.com/5525xys2

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 – Intro
01:19 – Early steps: PhD journey & robotic hands
15:42 – What is a soft robot?
23:35 – MIT years & models of soft robots
30:01 – Discretization & underactuation
37:21 – The regulation problem
47:01 – Pros and cons of soft robots
51:42 – The soft inverted pendulum
1:05:27 – Eigenmanifolds
1:15:22 – Physical intelligence
1:26:09 – On machine learning
1:37:49 – Embodied AI & TC on Robot Control
1:44:50 – Advice to future students

Links
- Cosimo’s website: https://tinyurl.com/mt37597k
- Piaggio Center: https://tinyurl.com/muryjw5h
- Pisa Robotic Hand: https://tinyurl.com/4ujtec59
- Model-Based Dynamic Controller for a Planar Soft Robot: https://tinyurl.com/5a8fv3c8
- Soft Robot definition (Encyclopaedia of Robotics): https://tinyurl.com/3y2jz987
- Isidori’s book: https://tinyurl.com/42254hav
- CSM magazine paper: https://tinyurl.com/bd54an6x
- Cosserat rod theory: https://tinyurl.com/zu73nadx
- Strain function: https://tinyurl.com/y8v63ue2
- Zero dynamics: https://tinyurl.com/2ezarn5e
- The soft inverted pendulum: https://tinyurl.com/y4bzkkup
- Templates and anchors: https://tinyurl.com/2957w6sz
- Exciting Efficient Oscillations Through Eigenmanifold Stabilisation: https://tinyurl.com/yc3586y5
- When Do Lyapunov Subcentre Manifolds Become Eigenmanifolds?: https://tinyurl.com/5tckw7xe
- Passive walker: https://tinyurl.com/yjwwapv5
- Strandbeests: https://tinyurl.com/494mfccu
- Physical control: https://tinyurl.com/bdddb6ur
- Morphological computation: https://tinyurl.com/an6vaahx
- The Playful Machine: https://tinyurl.com/5525xys2

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-17647201 Fri, 15 Aug 2025 09:00:00 +0200 6404 3 9 full false ep34 - inControl guide to ... Controllability & Observability ep34 - inControl guide to ... Controllability & Observability Outline

00:00 - Intro
01:06 - The big idea
03:42 - Controllability, observability, and  ... the space race!
14:52 - Kálmán and the state-space paradigm
00:00 - The math and intuition: state-space basics, definitions, and duality
00:00 - A touch of nonlinearity
00:00 - Developments in the field: a chronological tour
00:00 - Controllability and observability: quo vaditis?
00:00 - Outro

Links
Kálmán: https://tinyurl.com/bdzj7mtr
Controllability: https://tinyurl.com/28s5zxpn
Observability: https://tinyurl.com/yjxncxdn
Paper - "Contributions to the theory of optimal control": https://tinyurl.com/9wwf8pvh
Paper - "Discovery and Invention": https://tinyurl.com/ryfn463n
Kálmán's speech -  Kyoto Prize : https://tinyurl.com/2ahrjdah
Paper - Controllability of complex networks: https://tinyurl.com/3zk99n4s


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline

00:00 - Intro
01:06 - The big idea
03:42 - Controllability, observability, and  ... the space race!
14:52 - Kálmán and the state-space paradigm
00:00 - The math and intuition: state-space basics, definitions, and duality
00:00 - A touch of nonlinearity
00:00 - Developments in the field: a chronological tour
00:00 - Controllability and observability: quo vaditis?
00:00 - Outro

Links
Kálmán: https://tinyurl.com/bdzj7mtr
Controllability: https://tinyurl.com/28s5zxpn
Observability: https://tinyurl.com/yjxncxdn
Paper - "Contributions to the theory of optimal control": https://tinyurl.com/9wwf8pvh
Paper - "Discovery and Invention": https://tinyurl.com/ryfn463n
Kálmán's speech -  Kyoto Prize : https://tinyurl.com/2ahrjdah
Paper - Controllability of complex networks: https://tinyurl.com/3zk99n4s


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-17509444 Thu, 17 Jul 2025 07:00:00 +0200 3568 3 8 full false ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization Outline

00:00 - Intro

00:42 - “Research should be fun”

02:02 - Early steps in research

09:00 - Book writing and meeting C. Desoer

18:33 - Control synthesis via the factorization approach

25:46 - The graph metric 

29:27 - Robotics and CAIR

36:00 - Randomized algorithms

40:41 - On learning

44:05 - Neural networks

48:40 - Tata, hidden Markov models, and large deviations theory

55:48 - Picking problems and role of luck

58:07 - Compressed sensing and non-convex optimization

01:02:17 - Interplay between control and machine learning

01:09:10 - Advice to future students

01:13:29 - Future of control

Links

Sagar’s website: https://tinyurl.com/4hwruajs

Hilbert: https://tinyurl.com/ykpdh929

Feedback Systems: https://tinyurl.com/2k3jsdat

How to Write Mathematics: https://tinyurl.com/35794bv9

Nonlinear systems: https://tinyurl.com/2fdtnjcm

C. Desoer: https://tinyurl.com/svhknren

Control Systems Synthesis — A Factorization Approach: https://tinyurl.com/59wdc4sv

Aryabhata: https://tinyurl.com/43x6hfhp

A Brief History of the Graph Topology: https://tinyurl.com/49uftzdk

Robot Dynamics and Control: https://tinyurl.com/5b4cmt7m

CAIR: https://tinyurl.com/rajdtxax

Randomized algorithms for robust controller synthesis using statistical learning theory: https://tinyurl.com/wanpyeuc

R. Tempo: https://tinyurl.com/jkufdwar

VC dimension: https://tinyurl.com/mvwk8afm

Learning and Generalisation: https://tinyurl.com/2s3mzh8h

Are Analog Neural Networks Better Than Binary Neural Networks? https://tinyurl.com/3fnk27xc

Hidden Markov Processes: https://tinyurl.com/t5frrvfz

An Introduction to Compressed Sensing: https://tinyurl.com/fc6a8eer

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline

00:00 - Intro

00:42 - “Research should be fun”

02:02 - Early steps in research

09:00 - Book writing and meeting C. Desoer

18:33 - Control synthesis via the factorization approach

25:46 - The graph metric 

29:27 - Robotics and CAIR

36:00 - Randomized algorithms

40:41 - On learning

44:05 - Neural networks

48:40 - Tata, hidden Markov models, and large deviations theory

55:48 - Picking problems and role of luck

58:07 - Compressed sensing and non-convex optimization

01:02:17 - Interplay between control and machine learning

01:09:10 - Advice to future students

01:13:29 - Future of control

Links

Sagar’s website: https://tinyurl.com/4hwruajs

Hilbert: https://tinyurl.com/ykpdh929

Feedback Systems: https://tinyurl.com/2k3jsdat

How to Write Mathematics: https://tinyurl.com/35794bv9

Nonlinear systems: https://tinyurl.com/2fdtnjcm

C. Desoer: https://tinyurl.com/svhknren

Control Systems Synthesis — A Factorization Approach: https://tinyurl.com/59wdc4sv

Aryabhata: https://tinyurl.com/43x6hfhp

A Brief History of the Graph Topology: https://tinyurl.com/49uftzdk

Robot Dynamics and Control: https://tinyurl.com/5b4cmt7m

CAIR: https://tinyurl.com/rajdtxax

Randomized algorithms for robust controller synthesis using statistical learning theory: https://tinyurl.com/wanpyeuc

R. Tempo: https://tinyurl.com/jkufdwar

VC dimension: https://tinyurl.com/mvwk8afm

Learning and Generalisation: https://tinyurl.com/2s3mzh8h

Are Analog Neural Networks Better Than Binary Neural Networks? https://tinyurl.com/3fnk27xc

Hidden Markov Processes: https://tinyurl.com/t5frrvfz

An Introduction to Compressed Sensing: https://tinyurl.com/fc6a8eer

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Buzzsprout-17339413 Mon, 16 Jun 2025 08:00:00 +0200 4691 3 7 full false ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control Outline
00:00 - Intro and early steps in control
06:42 - Journey to the US
08:30 - Kharitonov's theorem and early influences
12:10 - From Lund to KTH (Stockholm)
15:01 - Ascona and collaboration with Megretski
24:06 - The IMA year in Minnesota
33:50 - Integral quadratic constraints
46:10 - KYP lemma and meeting Yakubovich
52:35 - Piecewise hybrid systems
59:41 - Dual to Lyapunov theorem
1:06:48 -  Positivity and large scale systems
1:15:25 - Adaptive and dual control
1:25:24 - Future research directions

Links
Master's thesis: https://tinyurl.com/vnkuf44a
Kharitonov's theorem: https://tinyurl.com/3w3a3z52
IMA: https://cse.umn.edu/ima
LCCC: http://www.lccc.lth.se/
Real stability radius paper: https://tinyurl.com/yc79zt58
IQC paper: https://tinyurl.com/mw2te4vw
KYP lemma paper: https://tinyurl.com/2fv32yw6
Piecewise quadratic Lyapunov functions for hybrid systems: https://tinyurl.com/38a5f432
Piecewise linear quadratic optimal control: https://tinyurl.com/yhddbhpx
Fast switches in relay feedback systems: https://tinyurl.com/23e95k9n
Dual to Lyapunov's stability theorem: https://tinyurl.com/yc2uf652
ECC’15 plenary: https://tinyurl.com/sy3k7vf7
Scalable control of positive systems: https://tinyurl.com/3vcda447
Tutorial on Positive Systems and Large Scale Control: https://tinyurl.com/3e4fkxz8
KYP lemma for positive systems: https://tinyurl.com/3pdp3p7p
CDC’25 plenary: https://tinyurl.com/497py5wh
Data driven Riccati equation: https://tinyurl.com/3swjtvab

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro and early steps in control
06:42 - Journey to the US
08:30 - Kharitonov's theorem and early influences
12:10 - From Lund to KTH (Stockholm)
15:01 - Ascona and collaboration with Megretski
24:06 - The IMA year in Minnesota
33:50 - Integral quadratic constraints
46:10 - KYP lemma and meeting Yakubovich
52:35 - Piecewise hybrid systems
59:41 - Dual to Lyapunov theorem
1:06:48 -  Positivity and large scale systems
1:15:25 - Adaptive and dual control
1:25:24 - Future research directions

Links
Master's thesis: https://tinyurl.com/vnkuf44a
Kharitonov's theorem: https://tinyurl.com/3w3a3z52
IMA: https://cse.umn.edu/ima
LCCC: http://www.lccc.lth.se/
Real stability radius paper: https://tinyurl.com/yc79zt58
IQC paper: https://tinyurl.com/mw2te4vw
KYP lemma paper: https://tinyurl.com/2fv32yw6
Piecewise quadratic Lyapunov functions for hybrid systems: https://tinyurl.com/38a5f432
Piecewise linear quadratic optimal control: https://tinyurl.com/yhddbhpx
Fast switches in relay feedback systems: https://tinyurl.com/23e95k9n
Dual to Lyapunov's stability theorem: https://tinyurl.com/yc2uf652
ECC’15 plenary: https://tinyurl.com/sy3k7vf7
Scalable control of positive systems: https://tinyurl.com/3vcda447
Tutorial on Positive Systems and Large Scale Control: https://tinyurl.com/3e4fkxz8
KYP lemma for positive systems: https://tinyurl.com/3pdp3p7p
CDC’25 plenary: https://tinyurl.com/497py5wh
Data driven Riccati equation: https://tinyurl.com/3swjtvab

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-17165608 Fri, 16 May 2025 09:00:00 +0200 5407 3 6 full false ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control Outline
00:00 - Intro
01:07 - Early steps
02:47 - Why control?
05:20 - The move to the US
07:40 - The first journal paper
13:30 - What is backstepping?
17:08 - Grad school
25:10 - Stochastic stabilization
29:53 - The interest in PDEs
43:24 - Navier-Stokes equations
52:12 - Hyperbolic PDEs and traffic models
57:51 - Predictors for long delays
1:08:14 - Extremum seeking
1:27:14 - Safe control
1:36:30 - Interplay between machine learning and control
1:42:28 - Back to the roots: robust adaptive control
1:50:50 - On service
1:55:54 - Advice

Links
Miroslav’s site: https://flyingv.ucsd.edu/
Tuning functions paper: https://tinyurl.com/yznv6r9r
P. Kokotović: https://tinyurl.com/mwmbm9yh
Separation and swapping:  https://tinyurl.com/y4fre6t8
Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx
KKK book: https://tinyurl.com/2kw2b4k6
Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a
Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7
Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr
Boundary Control of PDEs: https://tinyurl.com/d8x38bmj
Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem
Traffic congestion control: https://tinyurl.com/525jphs5
Delay compensation: https://tinyurl.com/5yz6uj9p
Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy
Stability of extremum seeking: https://tinyurl.com/mr5cvzd3
Nash equilibrium seeking: https://tinyurl.com/yeywrysn
Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk
Neural operators for PDE control: https://tinyurl.com/5yynsp7v
Bode lecture: https://tinyurl.com/mp92cs9u
CSM article: https://tinyurl.com/2av9r253

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:07 - Early steps
02:47 - Why control?
05:20 - The move to the US
07:40 - The first journal paper
13:30 - What is backstepping?
17:08 - Grad school
25:10 - Stochastic stabilization
29:53 - The interest in PDEs
43:24 - Navier-Stokes equations
52:12 - Hyperbolic PDEs and traffic models
57:51 - Predictors for long delays
1:08:14 - Extremum seeking
1:27:14 - Safe control
1:36:30 - Interplay between machine learning and control
1:42:28 - Back to the roots: robust adaptive control
1:50:50 - On service
1:55:54 - Advice

Links
Miroslav’s site: https://flyingv.ucsd.edu/
Tuning functions paper: https://tinyurl.com/yznv6r9r
P. Kokotović: https://tinyurl.com/mwmbm9yh
Separation and swapping:  https://tinyurl.com/y4fre6t8
Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx
KKK book: https://tinyurl.com/2kw2b4k6
Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a
Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7
Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr
Boundary Control of PDEs: https://tinyurl.com/d8x38bmj
Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem
Traffic congestion control: https://tinyurl.com/525jphs5
Delay compensation: https://tinyurl.com/5yz6uj9p
Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy
Stability of extremum seeking: https://tinyurl.com/mr5cvzd3
Nash equilibrium seeking: https://tinyurl.com/yeywrysn
Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk
Neural operators for PDE control: https://tinyurl.com/5yynsp7v
Bode lecture: https://tinyurl.com/mp92cs9u
CSM article: https://tinyurl.com/2av9r253

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-16954129 Tue, 15 Apr 2025 09:00:00 +0200 7364 3 5 full false ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control Outline
00:00 - Intro
03:26 - Development: ETH Zürich
07:15 - Growth: Minnesota and Wisconsin
36:16 - Productivity: Caltech
53:28 - Change: ETH Zürich
01:37:18 - Continuity: University of Pennsylvania
01:45:36 - Outro

Links
Manfred’s website: https://tinyurl.com/mryp38w3
Farewell lecture: https://tinyurl.com/2j5uxsp4
Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437
Internal model control. A unifying review and some new results:  https://tinyurl.com/vmm7a4tk
Internal model control - PID controller design: https://tinyurl.com/rup3azjm
Robust process control: https://tinyurl.com/8uhurkub
Robust control of ill-conditioned plants: high-purity distillation: https://tinyurl.com/5xfty34c
Computational complexity of \mu calculation: https://tinyurl.com/24yvvcc7
Robust constrained model predictive control using linear matrix inequalities: https://tinyurl.com/3pdk55kk
Control of systems integrating logic, dynamics, and constraints: https://tinyurl.com/489ekvsn
The explicit linear quadratic regulator for constrained systems: https://tinyurl.com/mr2e3z83
Model predictive control: https://tinyurl.com/2s4dafkd
Parametric programming: https://tinyurl.com/2u9vj79y
Embotech: https://tinyurl.com/3f99ks65
Embedded online optimization for model predictive control at megahertz rates: https://tinyurl.com/59z3vnb9
Donoho’s “Bridge from mathematical to digital and back”: https://tinyurl.com/3f9fk73w

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
03:26 - Development: ETH Zürich
07:15 - Growth: Minnesota and Wisconsin
36:16 - Productivity: Caltech
53:28 - Change: ETH Zürich
01:37:18 - Continuity: University of Pennsylvania
01:45:36 - Outro

Links
Manfred’s website: https://tinyurl.com/mryp38w3
Farewell lecture: https://tinyurl.com/2j5uxsp4
Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437
Internal model control. A unifying review and some new results:  https://tinyurl.com/vmm7a4tk
Internal model control - PID controller design: https://tinyurl.com/rup3azjm
Robust process control: https://tinyurl.com/8uhurkub
Robust control of ill-conditioned plants: high-purity distillation: https://tinyurl.com/5xfty34c
Computational complexity of \mu calculation: https://tinyurl.com/24yvvcc7
Robust constrained model predictive control using linear matrix inequalities: https://tinyurl.com/3pdk55kk
Control of systems integrating logic, dynamics, and constraints: https://tinyurl.com/489ekvsn
The explicit linear quadratic regulator for constrained systems: https://tinyurl.com/mr2e3z83
Model predictive control: https://tinyurl.com/2s4dafkd
Parametric programming: https://tinyurl.com/2u9vj79y
Embotech: https://tinyurl.com/3f99ks65
Embedded online optimization for model predictive control at megahertz rates: https://tinyurl.com/59z3vnb9
Donoho’s “Bridge from mathematical to digital and back”: https://tinyurl.com/3f9fk73w

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Buzzsprout-16038848 Mon, 17 Feb 2025 09:00:00 +0100 6376 3 4 full true ep29 - Richard Bellman: The Father of Dynamic Programming ep29 - Richard Bellman: The Father of Dynamic Programming Outline
00:00 - Intro
02:42 - Early life
10:24 - WWII, Johns Hopkins, Belleville, Madison
17:17 - Princeton
20:30 - Los Alamos
24:12 - Back to Princeton
31:01 - RAND + Stanford
42:10 - Dynamic programming
46:06 - Project matterhorn
51:00 - Back to RAND
56:14 - Curse of dimensionality
1:02:41 - Divorce and remarriage
1:08:29 - Greenglass affair
1:14:21 - USC
1:18:55 - Center for the Study of Democratic Institutions
1:22:55 - Last years
1:26:08 - Outro

Links
R. Bellman: https://tinyurl.com/ydkmwexy
C. M. Bellman: https://tinyurl.com/yfbafetj
Dynamic programming: https://tinyurl.com/mtsuampr
Curse of dimensionality: https://tinyurl.com/383yads8
Hamilton-Jacobi-Bellman equation: https://tinyurl.com/muu4ckvs
Bellman equation: https://tinyurl.com/y8bvzztm
Grönwall-Bellman inequality: https://tinyurl.com/mrwdxzd8
S. Lefschetz: https://tinyurl.com/2s39nnzv
RAND corporation: https://tinyurl.com/4bfyhp9p
Eye of the hurricane: https://tinyurl.com/bd6h84ka
G. Szegő: https://tinyurl.com/mrthmmvm
Project Matterhorn: https://tinyurl.com/5az9c3sh
D. Greenglass: https://tinyurl.com/p2kfp7cz
Center for the Study of Democratic Institutions: https://tinyurl.com/3vkupdty

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:42 - Early life
10:24 - WWII, Johns Hopkins, Belleville, Madison
17:17 - Princeton
20:30 - Los Alamos
24:12 - Back to Princeton
31:01 - RAND + Stanford
42:10 - Dynamic programming
46:06 - Project matterhorn
51:00 - Back to RAND
56:14 - Curse of dimensionality
1:02:41 - Divorce and remarriage
1:08:29 - Greenglass affair
1:14:21 - USC
1:18:55 - Center for the Study of Democratic Institutions
1:22:55 - Last years
1:26:08 - Outro

Links
R. Bellman: https://tinyurl.com/ydkmwexy
C. M. Bellman: https://tinyurl.com/yfbafetj
Dynamic programming: https://tinyurl.com/mtsuampr
Curse of dimensionality: https://tinyurl.com/383yads8
Hamilton-Jacobi-Bellman equation: https://tinyurl.com/muu4ckvs
Bellman equation: https://tinyurl.com/y8bvzztm
Grönwall-Bellman inequality: https://tinyurl.com/mrwdxzd8
S. Lefschetz: https://tinyurl.com/2s39nnzv
RAND corporation: https://tinyurl.com/4bfyhp9p
Eye of the hurricane: https://tinyurl.com/bd6h84ka
G. Szegő: https://tinyurl.com/mrthmmvm
Project Matterhorn: https://tinyurl.com/5az9c3sh
D. Greenglass: https://tinyurl.com/p2kfp7cz
Center for the Study of Democratic Institutions: https://tinyurl.com/3vkupdty

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-16452722 Fri, 17 Jan 2025 13:00:00 +0100 5380 3 3 full false ep28 - Karl Henrik Johansson: Semper in Motu - Hybrid Systems, Wireless and Event-Based Control, Mobility, Cybersecurity, and Societal Challenges ep28 - Karl Henrik Johansson: Semper in Motu - Hybrid Systems, Wireless and Event-Based Control, Mobility, Cybersecurity, and Societal Challenges Outline
00:00 Intro
01:19 Swedish control heritage and early steps
05:21 PhD at Lund and relay feedback systems
15:40 Berkeley years
19:58 Hybrid systems
26:46 Networked control systems
30:32 Interaction with industry
34:40 Wireless control systems
40:33 Platooning in freight transport
49:27 Future of mobility
52:55 Event-based control
58:58 Cybersecurity
1:05:10 Societal-scale challenges
1:12:33 Bode lecture reflections
1:15:05 Digital futures
1:23:38 Advice for future students

Links
Kalle’s website: https://tinyurl.com/yc34dv2x
K. J. Åstrom: https://tinyurl.com/5n9admvk
PhD Thesis: https://tinyurl.com/3868a92a
Relay feedback: https://tinyurl.com/3w4w9dku
Fast switches in relay feedback systems: https://tinyurl.com/5dcvn79f
S. Sastry: https://tinyurl.com/3f5e978z
Hybrid system: https://tinyurl.com/v39up6wk
Dynamical properties of hybrid automata: https://tinyurl.com/yx73x6ba
Wireless Network Design for Control Systems: https://tinyurl.com/mry5cnan
Cyber–Physical Control of Road Freight Transport: https://tinyurl.com/yc4yhhwu
S. Shladover: https://tinyurl.com/352cfwdm
An introduction to event-triggered and self-triggered control: https://tinyurl.com/37p9w8cz
Distributed Event-Triggered Control for Multi-Agent Systems: https://tinyurl.com/5ddnjsrz
Cyber security analysis of state estimators in electric power systems: https://tinyurl.com/2wj74spj
A secure control framework for resource-limited adversaries: https://tinyurl.com/37pnehuv
Control for societal-scale challenges 2030: https://tinyurl.com/yfd3v296
Digital futures: https://tinyurl.com/h3nyb22n

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 Intro
01:19 Swedish control heritage and early steps
05:21 PhD at Lund and relay feedback systems
15:40 Berkeley years
19:58 Hybrid systems
26:46 Networked control systems
30:32 Interaction with industry
34:40 Wireless control systems
40:33 Platooning in freight transport
49:27 Future of mobility
52:55 Event-based control
58:58 Cybersecurity
1:05:10 Societal-scale challenges
1:12:33 Bode lecture reflections
1:15:05 Digital futures
1:23:38 Advice for future students

Links
Kalle’s website: https://tinyurl.com/yc34dv2x
K. J. Åstrom: https://tinyurl.com/5n9admvk
PhD Thesis: https://tinyurl.com/3868a92a
Relay feedback: https://tinyurl.com/3w4w9dku
Fast switches in relay feedback systems: https://tinyurl.com/5dcvn79f
S. Sastry: https://tinyurl.com/3f5e978z
Hybrid system: https://tinyurl.com/v39up6wk
Dynamical properties of hybrid automata: https://tinyurl.com/yx73x6ba
Wireless Network Design for Control Systems: https://tinyurl.com/mry5cnan
Cyber–Physical Control of Road Freight Transport: https://tinyurl.com/yc4yhhwu
S. Shladover: https://tinyurl.com/352cfwdm
An introduction to event-triggered and self-triggered control: https://tinyurl.com/37p9w8cz
Distributed Event-Triggered Control for Multi-Agent Systems: https://tinyurl.com/5ddnjsrz
Cyber security analysis of state estimators in electric power systems: https://tinyurl.com/2wj74spj
A secure control framework for resource-limited adversaries: https://tinyurl.com/37pnehuv
Control for societal-scale challenges 2030: https://tinyurl.com/yfd3v296
Digital futures: https://tinyurl.com/h3nyb22n

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Buzzsprout-16039035 Sun, 15 Dec 2024 21:00:00 +0100 5345 3 2 full false ep27 - Munther Dahleh: L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problems ep27 - Munther Dahleh: L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problems Outline
00:00 - Intro
02:14 - Early steps in control
05:36 - L1 control
17:09 - Relay feedback systems
24:32 - Agile robotic maneuvers
29:31 - Abstractions and models
41:59 - Causality
49:35 - Markets and power grids
1:00:20 - Role of network structure
1:05:03 - Data, systems, and society
1:16:17 - On writing
1:22:57 - Cascaded failures in networks
1:30:40 - Information design
1:34:29 - Data markets
1:42:27 - On economics and engineering
1:48:18 - Systems thinking for societal problems
1:58:24 - Advice to future students

Links
Website: https://dahleh.lids.mit.edu/
Data Nation podcast: https://tinyurl.com/2fxwxw2d
S. Bhattacharyya: https://tinyurl.com/4z93f6n7
Wonham’s geometric control: https://tinyurl.com/mrxxkrv9
B. Pearson: https://tinyurl.com/3vaz9yc9
L1-optimal control: https://t.ly/NuXp8
M. Vidyasagar: https://tinyurl.com/4z3zamh6
Relay feedback systems: https://tinyurl.com/47tr23a4
J. Tsitsilkis: https://tinyurl.com/yc7jmzm6
Maneuver-based motion planning: https://tinyurl.com/bdduu2ea
Nutonomy: https://tinyurl.com/426s7stv
Feedback control with noisy channels: https://tinyurl.com/2yschy2s
Bode’s integral: https://tinyurl.com/2s47rjmp
Fundamental limits and molecular fluctuations: https://tinyurl.com/5n8k4maa
Volatility of power grids: https://tinyurl.com/2vfpjfy7
Bayesian learning in social networks: https://tinyurl.com/3mk9p486
D. Acemoglu: https://tinyurl.com/3nphek9h
A. Ozdaglar: https://tinyurl.com/yvdnddh9
Cascade failures in networks: https://tinyurl.com/u2ckx94v
A marketplace for data: https://tinyurl.com/esvbtprb


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:14 - Early steps in control
05:36 - L1 control
17:09 - Relay feedback systems
24:32 - Agile robotic maneuvers
29:31 - Abstractions and models
41:59 - Causality
49:35 - Markets and power grids
1:00:20 - Role of network structure
1:05:03 - Data, systems, and society
1:16:17 - On writing
1:22:57 - Cascaded failures in networks
1:30:40 - Information design
1:34:29 - Data markets
1:42:27 - On economics and engineering
1:48:18 - Systems thinking for societal problems
1:58:24 - Advice to future students

Links
Website: https://dahleh.lids.mit.edu/
Data Nation podcast: https://tinyurl.com/2fxwxw2d
S. Bhattacharyya: https://tinyurl.com/4z93f6n7
Wonham’s geometric control: https://tinyurl.com/mrxxkrv9
B. Pearson: https://tinyurl.com/3vaz9yc9
L1-optimal control: https://t.ly/NuXp8
M. Vidyasagar: https://tinyurl.com/4z3zamh6
Relay feedback systems: https://tinyurl.com/47tr23a4
J. Tsitsilkis: https://tinyurl.com/yc7jmzm6
Maneuver-based motion planning: https://tinyurl.com/bdduu2ea
Nutonomy: https://tinyurl.com/426s7stv
Feedback control with noisy channels: https://tinyurl.com/2yschy2s
Bode’s integral: https://tinyurl.com/2s47rjmp
Fundamental limits and molecular fluctuations: https://tinyurl.com/5n8k4maa
Volatility of power grids: https://tinyurl.com/2vfpjfy7
Bayesian learning in social networks: https://tinyurl.com/3mk9p486
D. Acemoglu: https://tinyurl.com/3nphek9h
A. Ozdaglar: https://tinyurl.com/yvdnddh9
Cascade failures in networks: https://tinyurl.com/u2ckx94v
A marketplace for data: https://tinyurl.com/esvbtprb


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-15941602 Thu, 17 Oct 2024 10:00:00 +0200 7470 3 1 full false ep26 - Bart De Moor: subspace identification, linear & multilinear algebra, quantum information, ML ep26 - Bart De Moor: subspace identification, linear & multilinear algebra, quantum information, ML Outline
00:00 - Intro
00:49 - Early education and PhD in control
10:35 - Non-negative linear algebra & modelling uncertainty principle
22:50 - Influence of Willems & the Frisch scheme
34:27 - Subspace identification & stochastic behavioural system theory
38:39 - Stanford experience with Golub & Kailath
53:30 - Return to Leuven: LS-SVMs, quantum information, and beyond
1:07:48 - Multilinear algebra and tensor trains
1:11:59 - Exact/approximate modelling and angles between systems
1:25:34 - Back to the roots
1:46:01 - On entrepreneurship: advice to future students
1:56:32 - Outro

Links
Bart’s website: https://www.bartdemoor.be/
Bart’s PhD Thesis: https://tinyurl.com/ryfu786h
J. Willems: https://tinyurl.com/26zcrkc6
From finite time series to linear system: https://tinyurl.com/4cvzpun6
Subspace Identification For Linear Systems: https://tinyurl.com/5n8u228k
Grassmann’s identity: https://tinyurl.com/37ey48da
L. Ljung: https://tinyurl.com/2p9k74cm
G. Golub: https://tinyurl.com/rteww7rb
The restricted singular value decomposition: https://tinyurl.com/3pzhw8p4
LS-SVMs: https://tinyurl.com/ykv7uvfv
Four qubits can be entangled in nine different ways: https://tinyurl.com/y367kkcp
High-order SVD: https://tinyurl.com/34u4p7h9
Subspace angles between ARMA models: https://tinyurl.com/29cta3rm
Exact and approximate modeling of linear systems: https://tinyurl.com/ykkbb9k4
Back to the roots: https://tinyurl.com/ym6bvs38
Resultant: https://tinyurl.com/32un7tbv
Multidimensional system: https://tinyurl.com/jswpsr2s
Macaulay resultant: https://tinyurl.com/y4skuevw
Least squares realization of LTI models is an eigenvalue problem: https://tinyurl.com/3x9dmjnk


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
00:49 - Early education and PhD in control
10:35 - Non-negative linear algebra & modelling uncertainty principle
22:50 - Influence of Willems & the Frisch scheme
34:27 - Subspace identification & stochastic behavioural system theory
38:39 - Stanford experience with Golub & Kailath
53:30 - Return to Leuven: LS-SVMs, quantum information, and beyond
1:07:48 - Multilinear algebra and tensor trains
1:11:59 - Exact/approximate modelling and angles between systems
1:25:34 - Back to the roots
1:46:01 - On entrepreneurship: advice to future students
1:56:32 - Outro

Links
Bart’s website: https://www.bartdemoor.be/
Bart’s PhD Thesis: https://tinyurl.com/ryfu786h
J. Willems: https://tinyurl.com/26zcrkc6
From finite time series to linear system: https://tinyurl.com/4cvzpun6
Subspace Identification For Linear Systems: https://tinyurl.com/5n8u228k
Grassmann’s identity: https://tinyurl.com/37ey48da
L. Ljung: https://tinyurl.com/2p9k74cm
G. Golub: https://tinyurl.com/rteww7rb
The restricted singular value decomposition: https://tinyurl.com/3pzhw8p4
LS-SVMs: https://tinyurl.com/ykv7uvfv
Four qubits can be entangled in nine different ways: https://tinyurl.com/y367kkcp
High-order SVD: https://tinyurl.com/34u4p7h9
Subspace angles between ARMA models: https://tinyurl.com/29cta3rm
Exact and approximate modeling of linear systems: https://tinyurl.com/ykkbb9k4
Back to the roots: https://tinyurl.com/ym6bvs38
Resultant: https://tinyurl.com/32un7tbv
Multidimensional system: https://tinyurl.com/jswpsr2s
Macaulay resultant: https://tinyurl.com/y4skuevw
Least squares realization of LTI models is an eigenvalue problem: https://tinyurl.com/3x9dmjnk


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-15617102 Wed, 21 Aug 2024 11:00:00 +0200 7030 2 12 full false ep25 - Francesco Bullo: Geometric control, robotic networks, networked systems, mathematical sociology, contraction theory ep25 - Francesco Bullo: Geometric control, robotic networks, networked systems, mathematical sociology, contraction theory Outline
01:16 - Intro
02:28 - Early steps in Italy and California
13:00 - From Riemannian geometry …
17:01 - … to geometric control, robotics and locomotion
34:54 - Academic environment at Caltech
35:06 - From single robots to robotic networks
53:51 - Art gallery problem
1:01:37 - Networked and cyber-physical systems
1:21:47 - Contracting dynamics
1:33:07 - Coupled oscillators and power grids
1:47:20 - On mathematical sociology
1:56:44 - Writing and publishing
2:02:14 - About professional service
2:08:04 - Advice for future students
2:08:04 - Outro

Links
Francesco’s website: https://fbullo.github.io/
CSM “People in Control” interview: https://tinyurl.com/cw4s8b4n
Geometric Control of Mechanical Systems: https://tinyurl.com/mt59bw2n
PD control on the Euclidean group: https://tinyurl.com/5xe9rtc2
Coverage control for mobile sensing networks: https://tinyurl.com/ye83duhm
Voronoi tassellations: https://tinyurl.com/y7w2tux4
Art gallery problem: https://tinyurl.com/yc8h88c3
Dynamic vehicle routing for robotic systems: https://tinyurl.com/5n8c393p
Distributed control of robotic networks: https://tinyurl.com/5xe6ztw3
Attack detection and identification in cyber-physical systems: https://tinyurl.com/mvm44d24
Voltage collapse in complex power grids: https://tinyurl.com/55mfdj28
Lectures on network systems: https://tinyurl.com/tbd9dhy2
Opinion dynamics and the evolution of social power in influence networks: https://tinyurl.com/2cd5v7ta
Banach contraction theorem: https://tinyurl.com/2yv4jjy6
Contraction theory for dynamical systems: https://tinyurl.com/2r2pxh9p
Contracting dynamics YouTube series: https://tinyurl.com/3p7nsryp
Getting it write: https://tinyurl.com/yhtabw2f
Hamming - You and your research: https://tinyurl.com/4vs9mnyv

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
01:16 - Intro
02:28 - Early steps in Italy and California
13:00 - From Riemannian geometry …
17:01 - … to geometric control, robotics and locomotion
34:54 - Academic environment at Caltech
35:06 - From single robots to robotic networks
53:51 - Art gallery problem
1:01:37 - Networked and cyber-physical systems
1:21:47 - Contracting dynamics
1:33:07 - Coupled oscillators and power grids
1:47:20 - On mathematical sociology
1:56:44 - Writing and publishing
2:02:14 - About professional service
2:08:04 - Advice for future students
2:08:04 - Outro

Links
Francesco’s website: https://fbullo.github.io/
CSM “People in Control” interview: https://tinyurl.com/cw4s8b4n
Geometric Control of Mechanical Systems: https://tinyurl.com/mt59bw2n
PD control on the Euclidean group: https://tinyurl.com/5xe9rtc2
Coverage control for mobile sensing networks: https://tinyurl.com/ye83duhm
Voronoi tassellations: https://tinyurl.com/y7w2tux4
Art gallery problem: https://tinyurl.com/yc8h88c3
Dynamic vehicle routing for robotic systems: https://tinyurl.com/5n8c393p
Distributed control of robotic networks: https://tinyurl.com/5xe6ztw3
Attack detection and identification in cyber-physical systems: https://tinyurl.com/mvm44d24
Voltage collapse in complex power grids: https://tinyurl.com/55mfdj28
Lectures on network systems: https://tinyurl.com/tbd9dhy2
Opinion dynamics and the evolution of social power in influence networks: https://tinyurl.com/2cd5v7ta
Banach contraction theorem: https://tinyurl.com/2yv4jjy6
Contraction theory for dynamical systems: https://tinyurl.com/2r2pxh9p
Contracting dynamics YouTube series: https://tinyurl.com/3p7nsryp
Getting it write: https://tinyurl.com/yhtabw2f
Hamming - You and your research: https://tinyurl.com/4vs9mnyv

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-15414542 Mon, 15 Jul 2024 11:00:00 +0200 7725 2 11 full false ep24 - Brian Douglas: Boeing, Control Videos, Resourcium, Map of Control Theory, Cartoons, Mathworks ep24 - Brian Douglas: Boeing, Control Videos, Resourcium, Map of Control Theory, Cartoons, Mathworks Outline
00:00 - Intro
01:00 - From Boeing to Planetary Resources
08:57 - The origin of control videos
17:07 - About teaching style
20:52 - The (unnecessary?) math behind controls
26:54 - On interdisciplinarity
31:35 - How to build knowledge fast
48:32 - Resourcium
01:00:49 - The map of control theory
01:11:09 - IFAC Cartoons
01:15:35 - Fundamentals of control theory book
01:24:49 - The role of projects
01:34:27 - Future of control education
01:43:43 - Advice to future students

Links
Brian’s website: https://tinyurl.com/DouglasBrian1
Boeing: https://tinyurl.com/DouglasBrian2
Planetary resources: https://tinyurl.com/DouglasBrian3
Khan Academy: https://tinyurl.com/DouglasBrian4
Building Knowledge in an Interdisciplinary World: https://tinyurl.com/DouglasBrian5
Why Models Are Essential to Digital Engineering: https://tinyurl.com/DouglasBrian6
SysML: https://tinyurl.com/DouglasBrian7
What Is Robust Control: https://tinyurl.com/DouglasBrian8
Algebraic Riccati equation: https://tinyurl.com/DouglasBrian9
Resourcium: https://tinyurl.com/DouglasBrian10
Map of control theory: https://tinyurl.com/DouglasBrian11
Map of mathematics: https://tinyurl.com/DouglasBrian12
Brian’s Cartoons: https://tinyurl.com/DouglasBrian13
Fundamentals of control theory: https://engineeringmedia.com/books
xkcd: https://xkcd.com/
what if?: https://xkcd.com/what-if/
Computational Control: https://www.bsaver.io/teaching
argmin: https://www.argmin.net/
The Art of the Realizable: https://realizable.substack.com/

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:00 - From Boeing to Planetary Resources
08:57 - The origin of control videos
17:07 - About teaching style
20:52 - The (unnecessary?) math behind controls
26:54 - On interdisciplinarity
31:35 - How to build knowledge fast
48:32 - Resourcium
01:00:49 - The map of control theory
01:11:09 - IFAC Cartoons
01:15:35 - Fundamentals of control theory book
01:24:49 - The role of projects
01:34:27 - Future of control education
01:43:43 - Advice to future students

Links
Brian’s website: https://tinyurl.com/DouglasBrian1
Boeing: https://tinyurl.com/DouglasBrian2
Planetary resources: https://tinyurl.com/DouglasBrian3
Khan Academy: https://tinyurl.com/DouglasBrian4
Building Knowledge in an Interdisciplinary World: https://tinyurl.com/DouglasBrian5
Why Models Are Essential to Digital Engineering: https://tinyurl.com/DouglasBrian6
SysML: https://tinyurl.com/DouglasBrian7
What Is Robust Control: https://tinyurl.com/DouglasBrian8
Algebraic Riccati equation: https://tinyurl.com/DouglasBrian9
Resourcium: https://tinyurl.com/DouglasBrian10
Map of control theory: https://tinyurl.com/DouglasBrian11
Map of mathematics: https://tinyurl.com/DouglasBrian12
Brian’s Cartoons: https://tinyurl.com/DouglasBrian13
Fundamentals of control theory: https://engineeringmedia.com/books
xkcd: https://xkcd.com/
what if?: https://xkcd.com/what-if/
Computational Control: https://www.bsaver.io/teaching
argmin: https://www.argmin.net/
The Art of the Realizable: https://realizable.substack.com/

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-15223020 Fri, 14 Jun 2024 07:00:00 +0200 6384 2 10 full false ep23 - Bassam Bamieh: Sampled Data Systems, PDEs, Distributed Control of Spatially Invariant Systems, Coherence, Resistive Losses, Cochlear Instabilities, and Stochasticity in Feedback Loops ep23 - Bassam Bamieh: Sampled Data Systems, PDEs, Distributed Control of Spatially Invariant Systems, Coherence, Resistive Losses, Cochlear Instabilities, and Stochasticity in Feedback Loops Outline
00:00 - Intro
01:17 - Early Years
04:17 - The “Scenic Route” to Control Theory
12:44 - Sampled Data Systems
22:26 - Linear Parameter Varying (LPV) Identification
28:07 - From Distributed Systems and PDEs ...
38:59 - ... to Distributed Control of Spatially Invariant Systems
49:02 - Taming the Navier-Stokes Equations
50:55 - Advice to Future Students
1:13:12 - Coherence in Large Scale Systems
1:32:28 - On Resistive Losses in Power Systems
1:39:00 - Cochlear Instabilities
1:50:40 - Stochasticity in Feedback Loops
2:00:00 - About Linear and Nonlinear Control
2:08:14 - How to Select a Research Problem
2:14:21 - Future of Control
2:22:06 - Outro

Links
- Paper on moment-invariants and object recognition: https://tinyurl.com/26tnks3z
- Bassam’s PhD Thesis: https://tinyurl.com/3n2274dv
- Identification of linear parametrically varying systems: https://tinyurl.com/mryebhhy
- Distributed control of spatially invariant systems: https://tinyurl.com/rzszjch2
- Shift Operator: https://tinyurl.com/24fwehet
- Heat Equation: https://tinyurl.com/57rc6s7h
- Navier-Stokes Equations: https://tinyurl.com/45ktrd2e
- The impulse response of the Navier-Stokes equations: https://tinyurl.com/4vaausfn
- Non-Normal Matrix: https://tinyurl.com/58z4sph8
- Coherence in large-scale networks: https://tinyurl.com/ynm5cbay
- The Price of Synchrony: https://tinyurl.com/3svzancw
- Tinnitus: https://tinyurl.com/yc5hm549
- Cochlear Instabilities: https://tinyurl.com/fjespjbj
- Stochasticity in Feedback Loops: https://tinyurl.com/yc6aw9xt
- Koopman Operator: https://tinyurl.com/3jeu68p8
- Carleman Linearization: https://tinyurl.com/yckzrnfh
- Mamba Model: https://tinyurl.com/33h59jwj
- Spectral Factorization: https://tinyurl.com/yc7dbmtj

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:17 - Early Years
04:17 - The “Scenic Route” to Control Theory
12:44 - Sampled Data Systems
22:26 - Linear Parameter Varying (LPV) Identification
28:07 - From Distributed Systems and PDEs ...
38:59 - ... to Distributed Control of Spatially Invariant Systems
49:02 - Taming the Navier-Stokes Equations
50:55 - Advice to Future Students
1:13:12 - Coherence in Large Scale Systems
1:32:28 - On Resistive Losses in Power Systems
1:39:00 - Cochlear Instabilities
1:50:40 - Stochasticity in Feedback Loops
2:00:00 - About Linear and Nonlinear Control
2:08:14 - How to Select a Research Problem
2:14:21 - Future of Control
2:22:06 - Outro

Links
- Paper on moment-invariants and object recognition: https://tinyurl.com/26tnks3z
- Bassam’s PhD Thesis: https://tinyurl.com/3n2274dv
- Identification of linear parametrically varying systems: https://tinyurl.com/mryebhhy
- Distributed control of spatially invariant systems: https://tinyurl.com/rzszjch2
- Shift Operator: https://tinyurl.com/24fwehet
- Heat Equation: https://tinyurl.com/57rc6s7h
- Navier-Stokes Equations: https://tinyurl.com/45ktrd2e
- The impulse response of the Navier-Stokes equations: https://tinyurl.com/4vaausfn
- Non-Normal Matrix: https://tinyurl.com/58z4sph8
- Coherence in large-scale networks: https://tinyurl.com/ynm5cbay
- The Price of Synchrony: https://tinyurl.com/3svzancw
- Tinnitus: https://tinyurl.com/yc5hm549
- Cochlear Instabilities: https://tinyurl.com/fjespjbj
- Stochasticity in Feedback Loops: https://tinyurl.com/yc6aw9xt
- Koopman Operator: https://tinyurl.com/3jeu68p8
- Carleman Linearization: https://tinyurl.com/yckzrnfh
- Mamba Model: https://tinyurl.com/33h59jwj
- Spectral Factorization: https://tinyurl.com/yc7dbmtj

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-15072265 Wed, 15 May 2024 12:00:00 +0200 8592 2 9 full false ep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, Neuromorphics ep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, Neuromorphics Outline
00:00 - Intro
01:28 - Platform-based design (PBD) in biology
16:42 - Cyberphysical systems,  automotive industry,  hybrid systems
27:32 - Contracts in system design
34:50 - Chiplets
41:48 - About time: the tag signal model
52:15 - Neuromorphics
59:21 - Innovative ecosystems
1:07:35 - Advice to future students
1:16:26 - The role of luck

Links
BiKi Technologies: https://t.ly/RuaW7
R. Murray: https://t.ly/Zy_Up
S. Sastry: https://t.ly/qsf44
C. Tomlin: https://t.ly/tQ0XZ
Platform-based design for energy systems: https://t.ly/RJdpi
State charts: https://tinyurl.com/yw69przw
Contracts for system design: https://tinyurl.com/496e953k
Formal methods: https://tinyurl.com/2yftcwsw
Chiplets: https://tinyurl.com/mrxyswua
A framework for comparing models of computation: https://tinyurl.com/2awyw3cr
Category theory: https://tinyurl.com/3bbfjdv9
E. Frazzoli: https://tinyurl.com/mspckmpd
A. Censi: https://tinyurl.com/5c87wuyx
A mathematical theory of co-design: https://tinyurl.com/ydp6jvp8
Prophesee: https://tinyurl.com/mtf9hpfm
Neuralink: https://tinyurl.com/bdcww89e
Openeye: https://tinyurl.com/3vh6ydmk
Epictetus:  https://tinyurl.com/57ef2rud
Seneca: https://tinyurl.com/f7zuyz4d
F. Nietzsche: https://tinyurl.com/bd7znm4n
J. P. Sartre: https://tinyurl.com/3b2zt5cr

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:28 - Platform-based design (PBD) in biology
16:42 - Cyberphysical systems,  automotive industry,  hybrid systems
27:32 - Contracts in system design
34:50 - Chiplets
41:48 - About time: the tag signal model
52:15 - Neuromorphics
59:21 - Innovative ecosystems
1:07:35 - Advice to future students
1:16:26 - The role of luck

Links
BiKi Technologies: https://t.ly/RuaW7
R. Murray: https://t.ly/Zy_Up
S. Sastry: https://t.ly/qsf44
C. Tomlin: https://t.ly/tQ0XZ
Platform-based design for energy systems: https://t.ly/RJdpi
State charts: https://tinyurl.com/yw69przw
Contracts for system design: https://tinyurl.com/496e953k
Formal methods: https://tinyurl.com/2yftcwsw
Chiplets: https://tinyurl.com/mrxyswua
A framework for comparing models of computation: https://tinyurl.com/2awyw3cr
Category theory: https://tinyurl.com/3bbfjdv9
E. Frazzoli: https://tinyurl.com/mspckmpd
A. Censi: https://tinyurl.com/5c87wuyx
A mathematical theory of co-design: https://tinyurl.com/ydp6jvp8
Prophesee: https://tinyurl.com/mtf9hpfm
Neuralink: https://tinyurl.com/bdcww89e
Openeye: https://tinyurl.com/3vh6ydmk
Epictetus:  https://tinyurl.com/57ef2rud
Seneca: https://tinyurl.com/f7zuyz4d
F. Nietzsche: https://tinyurl.com/bd7znm4n
J. P. Sartre: https://tinyurl.com/3b2zt5cr

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-14882529 Mon, 15 Apr 2024 06:00:00 +0200 4816 2 8 full false ep21 - Alberto Sangiovanni Vincentelli, Part I: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based design ep21 - Alberto Sangiovanni Vincentelli, Part I: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based design Outline
00:00 - Intro
02:40 - Classic Studies
06:51 - Early Steps in Berkeley between Optimization and Circuits Theory
16:04 - Back to Italy... and back to Berkeley
26:29 - The SPICE program and the interaction with IBM
33:30 - Logic Synthesis, Simulated Annealing, Timberwolf
40:57 - The Intel x386, YACR, and ESPRESSO
47:01 - The birth of Cadence and Synopsis
1:06:01 - Corsi e Ricorsi in EDA
1:30:45 - The Shift to Automotive and Platform-Based Design
1:39:06 - Outro

Links
Alberto’s website: https://tinyurl.com/2w8t8fza
State-space approach in problem-solving optimization: https://tinyurl.com/bdcnmbhp
EDA: https://tinyurl.com/3dur7yth
SPICE: https://tinyurl.com/yxm56txy
Logic Minimization Algorithms for VLSI Synthesis: https://tinyurl.com/49bnw3by
Simulated annealing: https://tinyurl.com/mryz45pz
Timberwolf: https://tinyurl.com/mvm28wnn
Intel 386: https://tinyurl.com/4z7ubb55
Cadence: https://tinyurl.com/hydjj92z
Synopsis: https://tinyurl.com/463vk8mk
Dracula: https://tinyurl.com/kcum5v8t
Corsi e ricorsi - the EDA story: https://tinyurl.com/mwar9p44
G. Vico: https://tinyurl.com/cb4mp7nz
Finite state machine: https://tinyurl.com/4ckszk2n
System-level design: orthogonalization of concerns and platform-based design: https://tinyurl.com/v2t4njt4
Quo Vadis, SLD? Reasoning About the Trends and Challenges of System Level Design: https://tinyurl.com/mpmmstun
Remembering Richard: https://tinyurl.com/yc6rf7u3
W. Shockley: https://tinyurl.com/w3chmutt

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
02:40 - Classic Studies
06:51 - Early Steps in Berkeley between Optimization and Circuits Theory
16:04 - Back to Italy... and back to Berkeley
26:29 - The SPICE program and the interaction with IBM
33:30 - Logic Synthesis, Simulated Annealing, Timberwolf
40:57 - The Intel x386, YACR, and ESPRESSO
47:01 - The birth of Cadence and Synopsis
1:06:01 - Corsi e Ricorsi in EDA
1:30:45 - The Shift to Automotive and Platform-Based Design
1:39:06 - Outro

Links
Alberto’s website: https://tinyurl.com/2w8t8fza
State-space approach in problem-solving optimization: https://tinyurl.com/bdcnmbhp
EDA: https://tinyurl.com/3dur7yth
SPICE: https://tinyurl.com/yxm56txy
Logic Minimization Algorithms for VLSI Synthesis: https://tinyurl.com/49bnw3by
Simulated annealing: https://tinyurl.com/mryz45pz
Timberwolf: https://tinyurl.com/mvm28wnn
Intel 386: https://tinyurl.com/4z7ubb55
Cadence: https://tinyurl.com/hydjj92z
Synopsis: https://tinyurl.com/463vk8mk
Dracula: https://tinyurl.com/kcum5v8t
Corsi e ricorsi - the EDA story: https://tinyurl.com/mwar9p44
G. Vico: https://tinyurl.com/cb4mp7nz
Finite state machine: https://tinyurl.com/4ckszk2n
System-level design: orthogonalization of concerns and platform-based design: https://tinyurl.com/v2t4njt4
Quo Vadis, SLD? Reasoning About the Trends and Challenges of System Level Design: https://tinyurl.com/mpmmstun
Remembering Richard: https://tinyurl.com/yc6rf7u3
W. Shockley: https://tinyurl.com/w3chmutt

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-14692449 Fri, 15 Mar 2024 11:00:00 +0100 6443 2 7 full false ep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot Interaction ep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot Interaction Outline
00:00 - Intro
00:58 - Early steps… in physics!
05:17 - AI in Edinburgh
08:00 - Connectionism
10:37 - Robot learning
19:02 - Imitation learning
23:00 - On pursuing a PhD
24:45 - Californian chronicles
30:10 - Modularity
33:20 - Challenges in robot learning
39:44 - Dexterous manipulation
43:52 - Dynamical systems
47:37 - Combining ML and control
51:25 - Human-robot interaction
54:24 - Safety and compliance
57:54 - Deadlines for papers
1:06:38 - Advice to future students
1:07:08 - Outro

Links
Aude’s lab: http://tinyurl.com/4nsx2kra
Robot learning: http://tinyurl.com/2ty25t2r
Connectionism: http://tinyurl.com/mrd76zfx
I. Demiris: http://tinyurl.com/nhhn6ymu
Hebbian learning: http://tinyurl.com/35ey7um5
DRAMA (paper): http://tinyurl.com/4fvbs867
Imitation learning: http://tinyurl.com/2af3aew4
Mirror neurons: http://tinyurl.com/4nd3sm75
G. Rizzolatti: http://tinyurl.com/5b4xfab5
Embodied cognition: http://tinyurl.com/5284kp8f
A biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphv
M. Airbib: http://tinyurl.com/3bu3y5dz
Recent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xk
Synthetic brain imaging (paper): http://tinyurl.com/38uerwk7
Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9m
Feasibility not optimality (video): http://tinyurl.com/mwa8b7et
Learning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8
On human compliance (paper): http://tinyurl.com/4vp2kmhw
Deadlines for conferences: http://tinyurl.com/mpwntkty

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
00:58 - Early steps… in physics!
05:17 - AI in Edinburgh
08:00 - Connectionism
10:37 - Robot learning
19:02 - Imitation learning
23:00 - On pursuing a PhD
24:45 - Californian chronicles
30:10 - Modularity
33:20 - Challenges in robot learning
39:44 - Dexterous manipulation
43:52 - Dynamical systems
47:37 - Combining ML and control
51:25 - Human-robot interaction
54:24 - Safety and compliance
57:54 - Deadlines for papers
1:06:38 - Advice to future students
1:07:08 - Outro

Links
Aude’s lab: http://tinyurl.com/4nsx2kra
Robot learning: http://tinyurl.com/2ty25t2r
Connectionism: http://tinyurl.com/mrd76zfx
I. Demiris: http://tinyurl.com/nhhn6ymu
Hebbian learning: http://tinyurl.com/35ey7um5
DRAMA (paper): http://tinyurl.com/4fvbs867
Imitation learning: http://tinyurl.com/2af3aew4
Mirror neurons: http://tinyurl.com/4nd3sm75
G. Rizzolatti: http://tinyurl.com/5b4xfab5
Embodied cognition: http://tinyurl.com/5284kp8f
A biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphv
M. Airbib: http://tinyurl.com/3bu3y5dz
Recent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xk
Synthetic brain imaging (paper): http://tinyurl.com/38uerwk7
Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9m
Feasibility not optimality (video): http://tinyurl.com/mwa8b7et
Learning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8
On human compliance (paper): http://tinyurl.com/4vp2kmhw
Deadlines for conferences: http://tinyurl.com/mpwntkty

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-14503841 Fri, 16 Feb 2024 11:00:00 +0100 4077 2 6 full false ep19 - Naomi Ehrich Leonard, Part II: Unveiling the Dynamics of Collective Decision-Making from Flocking Starlings to Desert Ants, Political Polarization, and the Creative Dance Between Arts and Control Theory ep19 - Naomi Ehrich Leonard, Part II: Unveiling the Dynamics of Collective Decision-Making from Flocking Starlings to Desert Ants, Political Polarization, and the Creative Dance Between Arts and Control Theory Outline
00:00 - Intro
01:33 - Starling Flock Formations
07:17 - Harvesters ants in the desert
16:54 - Decision making in the natural world and opinion dynamics 
32:08 - A geometric look at political polarization
36:50 - Control theory and dancing
53:25 - CreativeX
55:25 - On creativity
57:47 - Advice to future students

Links
Andrea Cavagna - http://tinyurl.com/uywn592j
Irene Giardina - http://tinyurl.com/4jmk2h5n
Starling Flock Networks Manage Uncertainty in Consensus at Low Cost: http://tinyurl.com/hc7wz5zp
Regulation of harvester ant foraging: http://tinyurl.com/4s7samff
Fitz-Hugh-Nagumo model: http://tinyurl.com/yer32bhs
Bistability and Resurgent Epidemics in Reinfection Models: http://tinyurl.com/2p98fhpc
SIR model: http://tinyurl.com/mrxdjvyc
Multi-agent system dynamics: Bifurcation and behavior of animal groups: http://tinyurl.com/ycx6ue2z
Fast and Flexible Multiagent Decision-Making: http://tinyurl.com/yd3azrje
A. Franci - http://tinyurl.com/5y5cn9yz
A. Bizyaeva - http://tinyurl.com/3trp7c53
M. Golubitsky - http://tinyurl.com/5ebkdtnc
I. Stewart - http://tinyurl.com/53nws9yz
Multi-agent Decision-Making Dynamics Inspired by Honeybees: http://tinyurl.com/3jxmrkvd
Nonlinear Opinion Dynamics With Tunable Sensitivity: http://tinyurl.com/33mb23tb
The Nonlinear Feedback Dynamics of Asymmetric Political Polarization: http://tinyurl.com/rjdntrbp
Flock logic: http://tinyurl.com/yyze25sz
There may be others: http://tinyurl.com/fetjhecn
Social decision-making driven by artistic explore-exploit tension:  http://tinyurl.com/4r2uxebr
Rhythmbots: http://tinyurl.com/mr3k9f43
CreativeX (Naomi's website): http://tinyurl.com/3pyerhwp
 

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:33 - Starling Flock Formations
07:17 - Harvesters ants in the desert
16:54 - Decision making in the natural world and opinion dynamics 
32:08 - A geometric look at political polarization
36:50 - Control theory and dancing
53:25 - CreativeX
55:25 - On creativity
57:47 - Advice to future students

Links
Andrea Cavagna - http://tinyurl.com/uywn592j
Irene Giardina - http://tinyurl.com/4jmk2h5n
Starling Flock Networks Manage Uncertainty in Consensus at Low Cost: http://tinyurl.com/hc7wz5zp
Regulation of harvester ant foraging: http://tinyurl.com/4s7samff
Fitz-Hugh-Nagumo model: http://tinyurl.com/yer32bhs
Bistability and Resurgent Epidemics in Reinfection Models: http://tinyurl.com/2p98fhpc
SIR model: http://tinyurl.com/mrxdjvyc
Multi-agent system dynamics: Bifurcation and behavior of animal groups: http://tinyurl.com/ycx6ue2z
Fast and Flexible Multiagent Decision-Making: http://tinyurl.com/yd3azrje
A. Franci - http://tinyurl.com/5y5cn9yz
A. Bizyaeva - http://tinyurl.com/3trp7c53
M. Golubitsky - http://tinyurl.com/5ebkdtnc
I. Stewart - http://tinyurl.com/53nws9yz
Multi-agent Decision-Making Dynamics Inspired by Honeybees: http://tinyurl.com/3jxmrkvd
Nonlinear Opinion Dynamics With Tunable Sensitivity: http://tinyurl.com/33mb23tb
The Nonlinear Feedback Dynamics of Asymmetric Political Polarization: http://tinyurl.com/rjdntrbp
Flock logic: http://tinyurl.com/yyze25sz
There may be others: http://tinyurl.com/fetjhecn
Social decision-making driven by artistic explore-exploit tension:  http://tinyurl.com/4r2uxebr
Rhythmbots: http://tinyurl.com/mr3k9f43
CreativeX (Naomi's website): http://tinyurl.com/3pyerhwp
 

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Buzzsprout-14297756 Mon, 15 Jan 2024 11:00:00 +0100 3464 2 5 full false ep18 - Naomi Ehrich Leonard, Part I: Geometric Control on Lie Groups, Underwater Vehicles and Collective Motion, Coordination in Animal Groups, Decision Making in Honeybees and Bifurcation Theory ep18 - Naomi Ehrich Leonard, Part I: Geometric Control on Lie Groups, Underwater Vehicles and Collective Motion, Coordination in Animal Groups, Decision Making in Honeybees and Bifurcation Theory Outline
00:00 - Intro
01:05 - Dancing and control theory
03:31 - Geometric control on Lie groups
09:14 - Underwater vehicles and geometric mechanics
18:45 - On the Hamiltonian framework
21:25 - Underwater field experiments in Monte Rey Bay
36:27 - Collective motion and coordination in animal groups
54:40 - Honeybees and bifurcation theory
1:03:36 - Outro

Links
Naomi’s website: http://tinyurl.com/j755aww5
Naomi’s PhD Thesis: http://tinyurl.com/ywkvvy7k
Lie group: http://tinyurl.com/2p83jw9s
Averaging: http://tinyurl.com/df9kmmcw
Stability of underwater vehicles: http://tinyurl.com/yxxytufx
J. Marsden: http://tinyurl.com/zvm8kktt
A. Block: http://tinyurl.com/6wc39zkd
Center of buoyancy: http://tinyurl.com/mszncamh
Controlled Lagrangians: http://tinyurl.com/22usb52e - http://tinyurl.com/ymmntvr8
Casimir function: http://tinyurl.com/yckc99mk
Monterey Bay field experiments: http://tinyurl.com/yc24adct -  http://tinyurl.com/3sd7ee39 - http://tinyurl.com/ywryjwvr
Collective motion: http://tinyurl.com/yuna5pam - http://tinyurl.com/pau74hmc - http://tinyurl.com/4p7zd5sz
Spatial patterns in coordinated groups: http://tinyurl.com/45y7hc9v-  http://tinyurl.com/5n7rm6vf
Kuramoto model: http://tinyurl.com/5eshfxha
Decision making in animal groups: http://tinyurl.com/3ybne8hn - http://tinyurl.com/283yts4y
Value-Sensitive Decision-Making in honeybees: http://tinyurl.com/2uhcwyy6
Bifurcation: http://tinyurl.com/tfr3ks7a
Singularity theory: http://tinyurl.com/4kmxuv8z

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:05 - Dancing and control theory
03:31 - Geometric control on Lie groups
09:14 - Underwater vehicles and geometric mechanics
18:45 - On the Hamiltonian framework
21:25 - Underwater field experiments in Monte Rey Bay
36:27 - Collective motion and coordination in animal groups
54:40 - Honeybees and bifurcation theory
1:03:36 - Outro

Links
Naomi’s website: http://tinyurl.com/j755aww5
Naomi’s PhD Thesis: http://tinyurl.com/ywkvvy7k
Lie group: http://tinyurl.com/2p83jw9s
Averaging: http://tinyurl.com/df9kmmcw
Stability of underwater vehicles: http://tinyurl.com/yxxytufx
J. Marsden: http://tinyurl.com/zvm8kktt
A. Block: http://tinyurl.com/6wc39zkd
Center of buoyancy: http://tinyurl.com/mszncamh
Controlled Lagrangians: http://tinyurl.com/22usb52e - http://tinyurl.com/ymmntvr8
Casimir function: http://tinyurl.com/yckc99mk
Monterey Bay field experiments: http://tinyurl.com/yc24adct -  http://tinyurl.com/3sd7ee39 - http://tinyurl.com/ywryjwvr
Collective motion: http://tinyurl.com/yuna5pam - http://tinyurl.com/pau74hmc - http://tinyurl.com/4p7zd5sz
Spatial patterns in coordinated groups: http://tinyurl.com/45y7hc9v-  http://tinyurl.com/5n7rm6vf
Kuramoto model: http://tinyurl.com/5eshfxha
Decision making in animal groups: http://tinyurl.com/3ybne8hn - http://tinyurl.com/283yts4y
Value-Sensitive Decision-Making in honeybees: http://tinyurl.com/2uhcwyy6
Bifurcation: http://tinyurl.com/tfr3ks7a
Singularity theory: http://tinyurl.com/4kmxuv8z

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-14136703 Wed, 13 Dec 2023 01:00:00 +0100 4036 2 4 full false ep17 - Tryphon Georgiou, Part II: Power spectra, optimal mass transport, Wasserstein geometry, turbulence, thermodynamics, quantum mechanics, adjustable one-ports ep17 - Tryphon Georgiou, Part II: Power spectra, optimal mass transport, Wasserstein geometry, turbulence, thermodynamics, quantum mechanics, adjustable one-ports Outline
00:00 - Intro
00:47 - Mind the gap (metric)
03:16 - Moment problems and Nevanlinna interpolation
06:53 - “Everything relates to everything else”
11:27 - Distances between power spectra 
16:08 - Optimal mass transport and Schrödinger bridges
32:25 - Sinkhorn iteration and Wasserstein geometry
37:45 - Color of turbulence
41:38 - Thermodynamics and energy harvesting from heat baths
55:01 - Quantum mechanics
57:55 - Adjustable one-ports
1:07:20 - “Aha moments” and advice to future generations
1:12:20 - Outro

Links
Tryphon’s website: https://georgiou.eng.uci.edu/
Robustness analysis of nonlinear feedback systems: an input-output approach (paper): https://tinyurl.com/4785kxny
A topological approach to Nevanlinna–Pick interpolation (paper): https://tinyurl.com/4vudtz8c
A generalized entropy criterion for Nevanlinna-Pick interpolation with degree constraint (paper): https://tinyurl.com/39enabuc
The meaning of distances in spectral analysis, IEEE CDC plenary 2007 (slides): https://tinyurl.com/mrytp7j8
Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I (paper): https://tinyurl.com/2nbm3sa6
Y. Chen - https://tinyurl.com/37frfx67
M. Pavon - https://tinyurl.com/yjhbawhb
Mittag Lefler - https://tinyurl.com/29cjum7j
Stochastic control liasons (paper): https://tinyurl.com/4s8y775b
Sinkhorn iteration: https://tinyurl.com/ym5catr2
Color of turbulence (paper): https://tinyurl.com/5n77bepb
Harvesting energy from a periodic heat bath (paper): https://tinyurl.com/2vadpu93
Principles of lossless adjustable one-ports (paper): https://tinyurl.com/53v23yt4
Inerter: https://tinyurl.com/ya2bkkhw

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
00:47 - Mind the gap (metric)
03:16 - Moment problems and Nevanlinna interpolation
06:53 - “Everything relates to everything else”
11:27 - Distances between power spectra 
16:08 - Optimal mass transport and Schrödinger bridges
32:25 - Sinkhorn iteration and Wasserstein geometry
37:45 - Color of turbulence
41:38 - Thermodynamics and energy harvesting from heat baths
55:01 - Quantum mechanics
57:55 - Adjustable one-ports
1:07:20 - “Aha moments” and advice to future generations
1:12:20 - Outro

Links
Tryphon’s website: https://georgiou.eng.uci.edu/
Robustness analysis of nonlinear feedback systems: an input-output approach (paper): https://tinyurl.com/4785kxny
A topological approach to Nevanlinna–Pick interpolation (paper): https://tinyurl.com/4vudtz8c
A generalized entropy criterion for Nevanlinna-Pick interpolation with degree constraint (paper): https://tinyurl.com/39enabuc
The meaning of distances in spectral analysis, IEEE CDC plenary 2007 (slides): https://tinyurl.com/mrytp7j8
Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I (paper): https://tinyurl.com/2nbm3sa6
Y. Chen - https://tinyurl.com/37frfx67
M. Pavon - https://tinyurl.com/yjhbawhb
Mittag Lefler - https://tinyurl.com/29cjum7j
Stochastic control liasons (paper): https://tinyurl.com/4s8y775b
Sinkhorn iteration: https://tinyurl.com/ym5catr2
Color of turbulence (paper): https://tinyurl.com/5n77bepb
Harvesting energy from a periodic heat bath (paper): https://tinyurl.com/2vadpu93
Principles of lossless adjustable one-ports (paper): https://tinyurl.com/53v23yt4
Inerter: https://tinyurl.com/ya2bkkhw

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-13968243 Mon, 11 Dec 2023 10:00:00 +0100 4381 2 3 full false ep16 - Tryphon Georgiou, Part I: Marathons, Interpolation problems, Metrics, and the Arrow of Time ep16 - Tryphon Georgiou, Part I: Marathons, Interpolation problems, Metrics, and the Arrow of Time Outline
00:00 - Intro
01:50 - Running marathons 
05:19 - The Center
13:28 - On creativity
15:24 - From algebraic system theory to moment problems
43:39 - The gap metric
58:33 - The longstanding friendship and collaboration with M. Smith
01:11:30 - On causality and the arrow of time 


Links
Tryphon’s website: https://georgiou.eng.uci.edu/
People in control interview: https://tinyurl.com/4nw5s9p6
R. Kalman: https://tinyurl.com/mux93t32
A. Tannenbaum: https://tinyurl.com/2pws6rzd
Moment problem - https://tinyurl.com/3u38xy9f
Nevanlinna–Pick interpolation - https://tinyurl.com/3nw56kj
Ph.D. Thesis: https://tinyurl.com/3c5ba8fr
On the computation of the gap metric: https://tinyurl.com/tamnufma
Uncertainty in Unstable Systems: The Gap Metric - https://tinyurl.com/4w7sn73n
Vidyasagar’s paper on the graph metric - https://tinyurl.com/5xn3rks6
Optimal robustness in the gap metric - https://tinyurl.com/7axewjpy
M. Smith - https://tinyurl.com/3ym2fbp9
M. Vidyasagar - https://tinyurl.com/4fnwtjv7
K. Glover - https://tinyurl.com/45zwpva9
C. Foias - https://tinyurl.com/wxt378tj
Commutant lifting theorem - https://tinyurl.com/bdfzxnf2
D. Sarason - https://tinyurl.com/5n6n568f
Robust Stability of Feedback Systems: A Geometric Approach Using the Gap Metric - https://tinyurl.com/bbv2hmy8
Intrinsic difficulties in using the doubly-infinite time axis for input-output control theory - https://tinyurl.com/3cdbc9n2
Erdős number - https://tinyurl.com/bdex5pf6
Causal system - https://tinyurl.com/ythze2h7
Feedback control and the arrow of time - https://tinyurl.com/2w6y6vrh

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Outline
00:00 - Intro
01:50 - Running marathons 
05:19 - The Center
13:28 - On creativity
15:24 - From algebraic system theory to moment problems
43:39 - The gap metric
58:33 - The longstanding friendship and collaboration with M. Smith
01:11:30 - On causality and the arrow of time 


Links
Tryphon’s website: https://georgiou.eng.uci.edu/
People in control interview: https://tinyurl.com/4nw5s9p6
R. Kalman: https://tinyurl.com/mux93t32
A. Tannenbaum: https://tinyurl.com/2pws6rzd
Moment problem - https://tinyurl.com/3u38xy9f
Nevanlinna–Pick interpolation - https://tinyurl.com/3nw56kj
Ph.D. Thesis: https://tinyurl.com/3c5ba8fr
On the computation of the gap metric: https://tinyurl.com/tamnufma
Uncertainty in Unstable Systems: The Gap Metric - https://tinyurl.com/4w7sn73n
Vidyasagar’s paper on the graph metric - https://tinyurl.com/5xn3rks6
Optimal robustness in the gap metric - https://tinyurl.com/7axewjpy
M. Smith - https://tinyurl.com/3ym2fbp9
M. Vidyasagar - https://tinyurl.com/4fnwtjv7
K. Glover - https://tinyurl.com/45zwpva9
C. Foias - https://tinyurl.com/wxt378tj
Commutant lifting theorem - https://tinyurl.com/bdfzxnf2
D. Sarason - https://tinyurl.com/5n6n568f
Robust Stability of Feedback Systems: A Geometric Approach Using the Gap Metric - https://tinyurl.com/bbv2hmy8
Intrinsic difficulties in using the doubly-infinite time axis for input-output control theory - https://tinyurl.com/3cdbc9n2
Erdős number - https://tinyurl.com/bdex5pf6
Causal system - https://tinyurl.com/ythze2h7
Feedback control and the arrow of time - https://tinyurl.com/2w6y6vrh

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Buzzsprout-13935212 Tue, 14 Nov 2023 10:00:00 +0100 5154 2 2 full false ep15 - Davide Scaramuzza: Vision-Based Navigation, Agile Drone Racing, Perception-Aware Control, and Event Cameras ep15 - Davide Scaramuzza: Vision-Based Navigation, Agile Drone Racing, Perception-Aware Control, and Event Cameras In this episode, we dive into the world of flying robots with Davide Scaramuzza (University of Zürich), a leading expert in vision-based navigation, agile drone racing, perception-aware control, and the cutting-edge neuromorphic technology of event cameras. We explore the challenges of autonomous navigation in GPS-denied environments, the excitement of drone racing, the future of robotics, and the revolutionary potential of event-based cameras.

Outline
00:58 - Magic
02:58 - Visual SLAM and autonomous driving
05:32 - Flying without a GPS
11:01 - sFly project - Vision-based autonomous flight
18:14 - Next steps
22:30 - Drone racing and agile flying
51:30 - Perception-aware control
58:47 - On robustness
1:02:46 - Risk-aware control and illumination
1:07:52 - Event-based cameras
1:15:37 - Agile flying  with event-based cameras
1:19:28 - Event-based control and neuromorphic technology
1:25:42 - Future of robotics
1:30:55 - Advice to future students

Links
- Davide’s website: https://rpg.ifi.uzh.ch/people_scaramuzza.html
- Copperfield at Niagara Falls: https://tinyurl.com/4wydc2s3
- Ambitious card: https://tinyurl.com/5723kf8s
- R. Siegwart: https://tinyurl.com/mr3sn472
- sFly project: https://tinyurl.com/43hrffcx
- DARPA challenge: https://tinyurl.com/5n7dnkmz
- PTAM: https://tinyurl.com/epypbbmz
- ROS: https://www.ros.org/
- Acado: https://acado.github.io/
- Drone racer - Nature paper: https://tinyurl.com/2rws2pjm
- Drone racing - video: https://t.co/g9ckjV3O3N
- Drone racing league: https://www.drl.io/
- Time-optimal MPCC: https://tinyurl.com/3udn5raf
- Event-based vision: https://rpg.ifi.uzh.ch/research_dvs.html
- T. Delbruck: https://tinyurl.com/4acymkxf
- Event-based vision: a survey: https://tinyurl.com/2hwcmk9t
- Event based vision and control paper: https://tinyurl.com/ycuyk7e5

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, we dive into the world of flying robots with Davide Scaramuzza (University of Zürich), a leading expert in vision-based navigation, agile drone racing, perception-aware control, and the cutting-edge neuromorphic technology of event cameras. We explore the challenges of autonomous navigation in GPS-denied environments, the excitement of drone racing, the future of robotics, and the revolutionary potential of event-based cameras.

Outline
00:58 - Magic
02:58 - Visual SLAM and autonomous driving
05:32 - Flying without a GPS
11:01 - sFly project - Vision-based autonomous flight
18:14 - Next steps
22:30 - Drone racing and agile flying
51:30 - Perception-aware control
58:47 - On robustness
1:02:46 - Risk-aware control and illumination
1:07:52 - Event-based cameras
1:15:37 - Agile flying  with event-based cameras
1:19:28 - Event-based control and neuromorphic technology
1:25:42 - Future of robotics
1:30:55 - Advice to future students

Links
- Davide’s website: https://rpg.ifi.uzh.ch/people_scaramuzza.html
- Copperfield at Niagara Falls: https://tinyurl.com/4wydc2s3
- Ambitious card: https://tinyurl.com/5723kf8s
- R. Siegwart: https://tinyurl.com/mr3sn472
- sFly project: https://tinyurl.com/43hrffcx
- DARPA challenge: https://tinyurl.com/5n7dnkmz
- PTAM: https://tinyurl.com/epypbbmz
- ROS: https://www.ros.org/
- Acado: https://acado.github.io/
- Drone racer - Nature paper: https://tinyurl.com/2rws2pjm
- Drone racing - video: https://t.co/g9ckjV3O3N
- Drone racing league: https://www.drl.io/
- Time-optimal MPCC: https://tinyurl.com/3udn5raf
- Event-based vision: https://rpg.ifi.uzh.ch/research_dvs.html
- T. Delbruck: https://tinyurl.com/4acymkxf
- Event-based vision: a survey: https://tinyurl.com/2hwcmk9t
- Event based vision and control paper: https://tinyurl.com/ycuyk7e5

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-13775734 Mon, 16 Oct 2023 10:00:00 +0200 5627 2 1 full false ep14 - Cleve Moler: Numerical Analyst, First MATLAB Programmer, and MathWorks Co-Founder ep14 - Cleve Moler: Numerical Analyst, First MATLAB Programmer, and MathWorks Co-Founder In this episode, we chat with Cleve Moler, a pioneer in numerical mathematics,  creator of MATLAB and co-founder of MathWorks. We cover the birth of MATLAB, along with captivating stories about the origin of the iconic MathWorks logo, the enigmatic "why" command, the concept of "embarrassingly parallel computations," and the mysterious Pentium bug, among other.

Outline
00:00 - Intro 
05:23 - Advice to students
05:45 - Caltech & J. Todd
07:07 - Stanford & G. Forsythe
08:27 - The MathWorks logo 
11:50 - ETH Zürich & Stiefel
16:51 - Householder meetings
19:48 - LINPACK & EISPACK projects 
26:10 - The birth of MATLAB
29:42 - Stanford course and the founding of Mathworks
38:40 - Embarrassingly parallel computing
39:54 - The pentium bug
43:58 - SIAM and matrix exponentials
47:19 - Future of mathematics
51:36 - Outro

Links
Cleve’s corner - https://blogs.mathworks.com/cleve/
Mathworks - https://mathworks.com/
History of Matlab - https://tinyurl.com/3dupkb7w
Datatron computer - https://tinyurl.com/4kmcw95r
J. Todd - https://tinyurl.com/2s432wzc
G. Forsythe - https://tinyurl.com/5583cfwx
MathWorks logo - https://tinyurl.com/yc4th7sk
E. Stiefel - https://tinyurl.com/ys4r2h96
J. Wilkinson - https://tinyurl.com/ye23bkdc
LINPACK - https://tinyurl.com/39d7rwxk
Computer solutions of linear algebraic systems - https://tinyurl.com/h9z7s342
Argonne Labs - https://www.anl.gov/
J. Dongarra - https://tinyurl.com/juzrw6y6
Embarrassingly parallel - https://tinyurl.com/yck38a4y
Pentium bug - https://tinyurl.com/4k7dt76p
19 dubious ways to compute the exponential of a matrix - https://tinyurl.com/yeyjy2bw
Perron-Frobenius theorem - https://tinyurl.com/fa59dv32
O. Taussky - https://tinyurl.com/yckexuws

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, we chat with Cleve Moler, a pioneer in numerical mathematics,  creator of MATLAB and co-founder of MathWorks. We cover the birth of MATLAB, along with captivating stories about the origin of the iconic MathWorks logo, the enigmatic "why" command, the concept of "embarrassingly parallel computations," and the mysterious Pentium bug, among other.

Outline
00:00 - Intro 
05:23 - Advice to students
05:45 - Caltech & J. Todd
07:07 - Stanford & G. Forsythe
08:27 - The MathWorks logo 
11:50 - ETH Zürich & Stiefel
16:51 - Householder meetings
19:48 - LINPACK & EISPACK projects 
26:10 - The birth of MATLAB
29:42 - Stanford course and the founding of Mathworks
38:40 - Embarrassingly parallel computing
39:54 - The pentium bug
43:58 - SIAM and matrix exponentials
47:19 - Future of mathematics
51:36 - Outro

Links
Cleve’s corner - https://blogs.mathworks.com/cleve/
Mathworks - https://mathworks.com/
History of Matlab - https://tinyurl.com/3dupkb7w
Datatron computer - https://tinyurl.com/4kmcw95r
J. Todd - https://tinyurl.com/2s432wzc
G. Forsythe - https://tinyurl.com/5583cfwx
MathWorks logo - https://tinyurl.com/yc4th7sk
E. Stiefel - https://tinyurl.com/ys4r2h96
J. Wilkinson - https://tinyurl.com/ye23bkdc
LINPACK - https://tinyurl.com/39d7rwxk
Computer solutions of linear algebraic systems - https://tinyurl.com/h9z7s342
Argonne Labs - https://www.anl.gov/
J. Dongarra - https://tinyurl.com/juzrw6y6
Embarrassingly parallel - https://tinyurl.com/yck38a4y
Pentium bug - https://tinyurl.com/4k7dt76p
19 dubious ways to compute the exponential of a matrix - https://tinyurl.com/yeyjy2bw
Perron-Frobenius theorem - https://tinyurl.com/fa59dv32
O. Taussky - https://tinyurl.com/yckexuws

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-13187993 Mon, 10 Jul 2023 01:00:00 +0200 3157 1 14 full false ep13 - John Doyle, Part II: Architectures, Universal laws, Layers, Levels, and Diversity-enabled Sweet Spots ep13 - John Doyle, Part II: Architectures, Universal laws, Layers, Levels, and Diversity-enabled Sweet Spots In this episode, we chat again with John Doyle about the frontiers of control theory. Starting from the fascinating interplay between bacteria, physics, and the Internet, we explore the universal laws that govern complex systems. We discuss the inner workings of phenomena like earthquakes, wildfires, and sepsis, emphasizing the vital role of control theory in understanding intrinsic tradeoffs and fragilities. Finally, we discuss the essential components of a full theory of architectures,  including universal laws, layers, levels, and diversity-enabled sweet spots.

Outline
00:00 - Intro
03:00 - Complex systems, physics, and the Internet
08:31 - On power laws
13:45 - SBML: Systems Biology Markup Language
18:51 - Layered architectures
21:38 - Earthquakes
26:17 - Wildfires
28:25 - Sepsis
37:18 - Essentials of a theory of architectures
54:10 - Universal laws, layers and levels
1:00:30 - Diversity enabled sweet spots 
1:12:49 - Witsenhausen’s counterexample and SLS
1:21:25 - On the internal model principle
1:29:38 - Evolution vs intelligent design
1:33:37 - Fragility and societal implications
1:44:31 - Outro

Links
Highly optimized tolerances and power laws paper: https://tinyurl.com/3yk2mycp
Robust perfect adaptation in bacterial chemotaxis paper: https://tinyurl.com/3fn62a73
SBML: https://sbml.org/
Internet congestion control paper: https://tinyurl.com/4rjcd724
The Structure of Scientific Revolutions: https://tinyurl.com/44n9y23u
Wildfires paper: https://tinyurl.com/2dvdh8ap
Turbulence paper: https://tinyurl.com/3sbsf8nj
Sepsis paper: https://tinyurl.com/55wse56f
Distributed LQG with delays paper: https://tinyurl.com/2abjdmb4
Diversity-enabled sweet spots in layered architectures paper: https://tinyurl.com/vvaxvwb8
Mountain biking game: https://tinyurl.com/46yh559r
System-level synthesis paper: https://tinyurl.com/2ez64jev
Internal feedback in biological control paper:  https://tinyurl.com/576zdfrx

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, we chat again with John Doyle about the frontiers of control theory. Starting from the fascinating interplay between bacteria, physics, and the Internet, we explore the universal laws that govern complex systems. We discuss the inner workings of phenomena like earthquakes, wildfires, and sepsis, emphasizing the vital role of control theory in understanding intrinsic tradeoffs and fragilities. Finally, we discuss the essential components of a full theory of architectures,  including universal laws, layers, levels, and diversity-enabled sweet spots.

Outline
00:00 - Intro
03:00 - Complex systems, physics, and the Internet
08:31 - On power laws
13:45 - SBML: Systems Biology Markup Language
18:51 - Layered architectures
21:38 - Earthquakes
26:17 - Wildfires
28:25 - Sepsis
37:18 - Essentials of a theory of architectures
54:10 - Universal laws, layers and levels
1:00:30 - Diversity enabled sweet spots 
1:12:49 - Witsenhausen’s counterexample and SLS
1:21:25 - On the internal model principle
1:29:38 - Evolution vs intelligent design
1:33:37 - Fragility and societal implications
1:44:31 - Outro

Links
Highly optimized tolerances and power laws paper: https://tinyurl.com/3yk2mycp
Robust perfect adaptation in bacterial chemotaxis paper: https://tinyurl.com/3fn62a73
SBML: https://sbml.org/
Internet congestion control paper: https://tinyurl.com/4rjcd724
The Structure of Scientific Revolutions: https://tinyurl.com/44n9y23u
Wildfires paper: https://tinyurl.com/2dvdh8ap
Turbulence paper: https://tinyurl.com/3sbsf8nj
Sepsis paper: https://tinyurl.com/55wse56f
Distributed LQG with delays paper: https://tinyurl.com/2abjdmb4
Diversity-enabled sweet spots in layered architectures paper: https://tinyurl.com/vvaxvwb8
Mountain biking game: https://tinyurl.com/46yh559r
System-level synthesis paper: https://tinyurl.com/2ez64jev
Internal feedback in biological control paper:  https://tinyurl.com/576zdfrx

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-13030047 Wed, 14 Jun 2023 09:00:00 +0200 6398 1 13 full false ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future In this episode, we sit down with John Doyle, a living legend in the field of robust control, to delve into his incredible journey in control theory. We explore his past at MIT and Honeywell, his time at Berkeley, and his journey through the golden age of robustness. From his groundbreaking work on margins of systems, \mu synthesis, and the H_\infty problem, to his insights on System Level Synthesis (SLS) and modern control architectures, John shares his thoughts on the past, present, and future of robust control. Along the way, we listen to John's fascinating stories, including his astonishing sport records and his thrilling Panamanian adventure.

Outline
00:00 - Intro
03:58 - Selected record-breaking athletics feats
09:47 - The Panamanian adventure
13:41 - Early steps in control: the MIT & Honeywell years
32:24 - The move to Berkeley and the golden age of robustness
46:06 -  To H_\infty and beyond
50:47 - DGKF: The solution of the H_\infty problem
1:02:40 - A glimpse of System Level Syntheis  (SLS)
1:07:27 - The challenge of our age: a theory of architecture design
1:12:34 - How to fix the theory-practice gap
1:15:05 - Outro

Links
John’s website: https://doyle.caltech.edu/Main_Page
Sport records: https://tinyurl.com/4f7uapjt
The Panamanian adventure: https://tinyurl.com/3zf4x5f7
John’s master thesis: https://tinyurl.com/5c4bt5kk
Paper - Guaranteed margins for LQG: https://tinyurl.com/3pjdvjmk
Paper - Multivariable feedback design: ...  https://tinyurl.com/4uv8a6yz
John’s PhD Thesis: https://tinyurl.com/27mew2ku
Paper -  Feedback and optimal sensitivity: ... :  https://tinyurl.com/2p8a5vbh
Paper - Performance and robustness analysis for structured uncertainty: https://tinyurl.com/mr78ajwx
Paper - State-space solutions to standard H2 and H∞ control problems: https://tinyurl.com/4ru2ssc9
Witsenhausen’s counterexample: https://tinyurl.com/3cavzz9y

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, we sit down with John Doyle, a living legend in the field of robust control, to delve into his incredible journey in control theory. We explore his past at MIT and Honeywell, his time at Berkeley, and his journey through the golden age of robustness. From his groundbreaking work on margins of systems, \mu synthesis, and the H_\infty problem, to his insights on System Level Synthesis (SLS) and modern control architectures, John shares his thoughts on the past, present, and future of robust control. Along the way, we listen to John's fascinating stories, including his astonishing sport records and his thrilling Panamanian adventure.

Outline
00:00 - Intro
03:58 - Selected record-breaking athletics feats
09:47 - The Panamanian adventure
13:41 - Early steps in control: the MIT & Honeywell years
32:24 - The move to Berkeley and the golden age of robustness
46:06 -  To H_\infty and beyond
50:47 - DGKF: The solution of the H_\infty problem
1:02:40 - A glimpse of System Level Syntheis  (SLS)
1:07:27 - The challenge of our age: a theory of architecture design
1:12:34 - How to fix the theory-practice gap
1:15:05 - Outro

Links
John’s website: https://doyle.caltech.edu/Main_Page
Sport records: https://tinyurl.com/4f7uapjt
The Panamanian adventure: https://tinyurl.com/3zf4x5f7
John’s master thesis: https://tinyurl.com/5c4bt5kk
Paper - Guaranteed margins for LQG: https://tinyurl.com/3pjdvjmk
Paper - Multivariable feedback design: ...  https://tinyurl.com/4uv8a6yz
John’s PhD Thesis: https://tinyurl.com/27mew2ku
Paper -  Feedback and optimal sensitivity: ... :  https://tinyurl.com/2p8a5vbh
Paper - Performance and robustness analysis for structured uncertainty: https://tinyurl.com/mr78ajwx
Paper - State-space solutions to standard H2 and H∞ control problems: https://tinyurl.com/4ru2ssc9
Witsenhausen’s counterexample: https://tinyurl.com/3cavzz9y

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-12841020 Mon, 15 May 2023 09:00:00 +0200 4563 1 12 full false ep11 - Mustafa Khammash: Cybergenetics ep11 - Mustafa Khammash: Cybergenetics In this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH Zürich and guides us in this episode as we explore Cybergenetics - the cutting-edge intersection of control theory and synthetic biology. From biomolecular control to antithetic motifs, we discuss real-world applications and ethical dilemmas. Don't miss it!

Outline
00:00 - Intro
00:50 - Cybergenetics
02:22 - Genetics 101
05:07- Where control meets biology
06:49 - Mustafa's early steps in biology: why do dairy cows get milk fever?
12:05 - Systems and synthetic biology
14:34 - History of synthetic biology
17:16 - On biological computing
23:23 - On biomolecular control
29:27 - The birth of the Antithetic motif for molecular feedback control
39:25 - Enabling technologies
48:28 - How the antithetic motif works
57:20 - Model organisms
01:00:45 - Applications of Cybergenetics
01:06:45 - Ethical dilemmas in Cybergenetics
01:10:57 - On the internal model principle
01:16:01 - Advice to future students
01:19:51 - Outro

Links
- Mustafa’s website: https://bsse.ethz.ch/ctsb
- Paper on calcium regulation: https://tinyurl.com/4p9xu8j2
- History of synthetic biology: https://tinyurl.com/2p8ej8fw
- Motifs: https://tinyurl.com/3vcnjvj3
- Paper - In silico feedback for in vivo regulation of a gene expression circuit: https://tinyurl.com/yw98d8k8
- Paper - A universal biomolecular integral feedback controller for robust perfect adaptation: https://tinyurl.com/bddux4x3
- Optogenetics: https://tinyurl.com/r6yw9s37
- About the fluorescent protein: https://tinyurl.com/bdzm37fs
- Electroporation: https://tinyurl.com/3hhjxanp
- Paper - Cybergenetics: Theory and Applications of Genetic Control Systems: https://tinyurl.com/222f8924
- Paper - Universal structural requirements for maximal robust perfect adaptation in biomolecular networks: https://tinyurl.com/3a2bm35f

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH Zürich and guides us in this episode as we explore Cybergenetics - the cutting-edge intersection of control theory and synthetic biology. From biomolecular control to antithetic motifs, we discuss real-world applications and ethical dilemmas. Don't miss it!

Outline
00:00 - Intro
00:50 - Cybergenetics
02:22 - Genetics 101
05:07- Where control meets biology
06:49 - Mustafa's early steps in biology: why do dairy cows get milk fever?
12:05 - Systems and synthetic biology
14:34 - History of synthetic biology
17:16 - On biological computing
23:23 - On biomolecular control
29:27 - The birth of the Antithetic motif for molecular feedback control
39:25 - Enabling technologies
48:28 - How the antithetic motif works
57:20 - Model organisms
01:00:45 - Applications of Cybergenetics
01:06:45 - Ethical dilemmas in Cybergenetics
01:10:57 - On the internal model principle
01:16:01 - Advice to future students
01:19:51 - Outro

Links
- Mustafa’s website: https://bsse.ethz.ch/ctsb
- Paper on calcium regulation: https://tinyurl.com/4p9xu8j2
- History of synthetic biology: https://tinyurl.com/2p8ej8fw
- Motifs: https://tinyurl.com/3vcnjvj3
- Paper - In silico feedback for in vivo regulation of a gene expression circuit: https://tinyurl.com/yw98d8k8
- Paper - A universal biomolecular integral feedback controller for robust perfect adaptation: https://tinyurl.com/bddux4x3
- Optogenetics: https://tinyurl.com/r6yw9s37
- About the fluorescent protein: https://tinyurl.com/bdzm37fs
- Electroporation: https://tinyurl.com/3hhjxanp
- Paper - Cybergenetics: Theory and Applications of Genetic Control Systems: https://tinyurl.com/222f8924
- Paper - Universal structural requirements for maximal robust perfect adaptation in biomolecular networks: https://tinyurl.com/3a2bm35f

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-12648716 Fri, 14 Apr 2023 08:00:00 +0200 4840 1 11 full false ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Rock & Roll ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Rock & Roll In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University.  Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!

Outline
- 00:00 - Intro
- 07:48 - Early years at Berkeley 
- 10:25 - The role of theory in practice
- 16:19 - On traveling (intellectually)
- 19:40 - Convex optimization 
- 31:51 - On Linear Matrix Inequalities (LMIs)
- 39:57 - Convex Optimization Control Policies  (COCPs)
- 50:20 - CVX and Disciplined Convex Programming (DCP)
- 58:14 - About AI
- 1:03:58 - Teaching
- 1:11:07 - Open source and publishing
- 1:15:13 - Future of control and advice to future students
- 1:20:08 - Outro

Episode links
- Stephen’s website: https://tinyurl.com/yrmk6p2w
- CSM acceptance speech: https://tinyurl.com/43yhs583
- L. Chua: https://tinyurl.com/k4zx4vya
- C. Desoer: https://tinyurl.com/4euxvcxx
- S. Sastry: https://tinyurl.com/2p9hfrha
- G. Dantzig: https://tinyurl.com/2s4m3jvz
- Simplex algorithm: https://tinyurl.com/2r8bxwe5
- Interior point methods: https://tinyurl.com/4ev4z6zm
- Invariants and dissipated quantities: https://tinyurl.com/43zswmwt
- Linear matrix inequalities: https://tinyurl.com/4y57date
- COCP paper: https://tinyurl.com/468apvdx
- Keynote talk at L4DC: https://tinyurl.com/2y3z4v68
- Model Predictive Control (MPC): https://tinyurl.com/bdf8r2sx
- DCP: https://tinyurl.com/yc38kvae 
- YALMIP: https://tinyurl.com/mr3rk2r4
- Stephen's books: https://tinyurl.com/52v9fu83

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University.  Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!

Outline
- 00:00 - Intro
- 07:48 - Early years at Berkeley 
- 10:25 - The role of theory in practice
- 16:19 - On traveling (intellectually)
- 19:40 - Convex optimization 
- 31:51 - On Linear Matrix Inequalities (LMIs)
- 39:57 - Convex Optimization Control Policies  (COCPs)
- 50:20 - CVX and Disciplined Convex Programming (DCP)
- 58:14 - About AI
- 1:03:58 - Teaching
- 1:11:07 - Open source and publishing
- 1:15:13 - Future of control and advice to future students
- 1:20:08 - Outro

Episode links
- Stephen’s website: https://tinyurl.com/yrmk6p2w
- CSM acceptance speech: https://tinyurl.com/43yhs583
- L. Chua: https://tinyurl.com/k4zx4vya
- C. Desoer: https://tinyurl.com/4euxvcxx
- S. Sastry: https://tinyurl.com/2p9hfrha
- G. Dantzig: https://tinyurl.com/2s4m3jvz
- Simplex algorithm: https://tinyurl.com/2r8bxwe5
- Interior point methods: https://tinyurl.com/4ev4z6zm
- Invariants and dissipated quantities: https://tinyurl.com/43zswmwt
- Linear matrix inequalities: https://tinyurl.com/4y57date
- COCP paper: https://tinyurl.com/468apvdx
- Keynote talk at L4DC: https://tinyurl.com/2y3z4v68
- Model Predictive Control (MPC): https://tinyurl.com/bdf8r2sx
- DCP: https://tinyurl.com/yc38kvae 
- YALMIP: https://tinyurl.com/mr3rk2r4
- Stephen's books: https://tinyurl.com/52v9fu83

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-12444508 Wed, 15 Mar 2023 08:00:00 +0100 4859 1 10 full false ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds Our guest in this episode is Rodolphe Sepulchre, Professor of Engineering at
KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering  (Control Group).  We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.

Outline
- 00:00 - Intro
- 03:54 - Why control?
- 11:08 - Spiking control systems
- 20:47 - The mixed feedback principle
- 23:52 - On thermodynamics
- 25:17 - Event-based systems
- 29:33 - On dissipativity theory
- 48:00 - Stability, positivity and monotonicity
- 55:00 - Control, cybernetics and neuroscience
- 59:10 - Neuromorphic control principles
- 01:00:01 - Optimization on manifolds
- 01:05:01 - Influential figures
- 01:08:52 - On the future of control
- 01:12:35 - Advice to future students
- 01:15:01 - About creativity
- 01:20:35 - Outro

Episode links
- Rodolphe's lab: https://tinyurl.com/yc4bubyy
- IEEE CSM editorials: https://tinyurl.com/2bhch6w3
- Spiking control systems: https://tinyurl.com/3x6pwm9m
- O. Pamuk: https://tinyurl.com/4akzyk37
- Event based control: https://tinyurl.com/5apuh5kw
- A simple neuron servo: https://tinyurl.com/4pjnkx5u
- C. Mead: https://tinyurl.com/mr29xta9
- L. Chua: https://tinyurl.com/5n935ssp
- Inventing the negative feedback amplifier: https://tinyurl.com/4573rv2d
- Hodgkin-Huxley model: https://tinyurl.com/mr46cv79
- R. Ashby: https://tinyurl.com/45jrp6hw
- G. J. Minty: https://tinyurl.com/4u4v22ue 
- J. C. Willems: https://tinyurl.com/3zthcxc2
- P. Kokotovic: https://tinyurl.com/mrymffch
- Wholeness and the Implicate Order: https://tinyurl.com/yckpnybp

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Our guest in this episode is Rodolphe Sepulchre, Professor of Engineering at
KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering  (Control Group).  We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.

Outline
- 00:00 - Intro
- 03:54 - Why control?
- 11:08 - Spiking control systems
- 20:47 - The mixed feedback principle
- 23:52 - On thermodynamics
- 25:17 - Event-based systems
- 29:33 - On dissipativity theory
- 48:00 - Stability, positivity and monotonicity
- 55:00 - Control, cybernetics and neuroscience
- 59:10 - Neuromorphic control principles
- 01:00:01 - Optimization on manifolds
- 01:05:01 - Influential figures
- 01:08:52 - On the future of control
- 01:12:35 - Advice to future students
- 01:15:01 - About creativity
- 01:20:35 - Outro

Episode links
- Rodolphe's lab: https://tinyurl.com/yc4bubyy
- IEEE CSM editorials: https://tinyurl.com/2bhch6w3
- Spiking control systems: https://tinyurl.com/3x6pwm9m
- O. Pamuk: https://tinyurl.com/4akzyk37
- Event based control: https://tinyurl.com/5apuh5kw
- A simple neuron servo: https://tinyurl.com/4pjnkx5u
- C. Mead: https://tinyurl.com/mr29xta9
- L. Chua: https://tinyurl.com/5n935ssp
- Inventing the negative feedback amplifier: https://tinyurl.com/4573rv2d
- Hodgkin-Huxley model: https://tinyurl.com/mr46cv79
- R. Ashby: https://tinyurl.com/45jrp6hw
- G. J. Minty: https://tinyurl.com/4u4v22ue 
- J. C. Willems: https://tinyurl.com/3zthcxc2
- P. Kokotovic: https://tinyurl.com/mrymffch
- Wholeness and the Implicate Order: https://tinyurl.com/yckpnybp

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-12235167 Wed, 15 Feb 2023 08:00:00 +0100 5044 1 9 full false ep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and Back ep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and Back In this episode, our guest is Anuradha Annaswamy. Anu is the Director of the Active-Adaptive Control Laboratory and Senior Research Scientist at the Massachusetts Institute of Technology in the Deparment of Mechanical Engineering.  We delve into adaptive control and its exciting history, ranging from the Brave Era to the audacious X15 tests and to modern intersections with Reinforcement Learning.

Outline
02:15 - Anu's background
05:20 - What is adaptation?
08:30 - The Brave Era
15:17 - The X15 accident 
23:16 - Exploration vs exploitation
28:35 - Beyond linearity and time invariance
45:05 - Adaptive control vs Reinforcement Learning
52:12 - The future of adaptive control
54:34 - Outro

Episode links
Anu's lab:  http://aaclab.mit.edu/
NCCR Symposium: https://tinyurl.com/bdz84p4c
Book - Stable adaptive systems: https://tinyurl.com/mw4saame
X-15 Flight 3-65-97: https://tinyurl.com/2kbe7nsy
Paper - Adaptive Control and the NASA X-15-3 Flight Revisited: https://tinyurl.com/2p83k7ez
Paper - A historical perspective of adaptive control and learning: https://tinyurl.com/yck89rcd
Paper -Adaptive Control and Intersections with Reinforcement Learning: https://tinyurl.com/yc27rsyd
KYP Lemma: https://tinyurl.com/mkf35jjt
Persistence of excitation: https://tinyurl.com/bpfwp9n9
Dual control: https://tinyurl.com/ywduzm5x
Paper - Robust adaptive control in the presence of bounded disturbances:  https://tinyurl.com/4pztx23z
Paper -  Reinforcement learning is direct adaptive optimal control https://tinyurl.com/appnjzyn
MRAC: https://tinyurl.com/bdzzphju
Self Tuning Control: https://tinyurl.com/3mjs3skm

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Anuradha Annaswamy. Anu is the Director of the Active-Adaptive Control Laboratory and Senior Research Scientist at the Massachusetts Institute of Technology in the Deparment of Mechanical Engineering.  We delve into adaptive control and its exciting history, ranging from the Brave Era to the audacious X15 tests and to modern intersections with Reinforcement Learning.

Outline
02:15 - Anu's background
05:20 - What is adaptation?
08:30 - The Brave Era
15:17 - The X15 accident 
23:16 - Exploration vs exploitation
28:35 - Beyond linearity and time invariance
45:05 - Adaptive control vs Reinforcement Learning
52:12 - The future of adaptive control
54:34 - Outro

Episode links
Anu's lab:  http://aaclab.mit.edu/
NCCR Symposium: https://tinyurl.com/bdz84p4c
Book - Stable adaptive systems: https://tinyurl.com/mw4saame
X-15 Flight 3-65-97: https://tinyurl.com/2kbe7nsy
Paper - Adaptive Control and the NASA X-15-3 Flight Revisited: https://tinyurl.com/2p83k7ez
Paper - A historical perspective of adaptive control and learning: https://tinyurl.com/yck89rcd
Paper -Adaptive Control and Intersections with Reinforcement Learning: https://tinyurl.com/yc27rsyd
KYP Lemma: https://tinyurl.com/mkf35jjt
Persistence of excitation: https://tinyurl.com/bpfwp9n9
Dual control: https://tinyurl.com/ywduzm5x
Paper - Robust adaptive control in the presence of bounded disturbances:  https://tinyurl.com/4pztx23z
Paper -  Reinforcement learning is direct adaptive optimal control https://tinyurl.com/appnjzyn
MRAC: https://tinyurl.com/bdzzphju
Self Tuning Control: https://tinyurl.com/3mjs3skm

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-12037544 Mon, 16 Jan 2023 10:00:00 +0100 3844 1 8 full true ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning In this episode, our guest is Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences as well as Brain and Cognitive Sciences, Director of the Nonlinear Systems Laboratory at the Massachusetts Institute of Technology, and Distinguished Faculty at Google AI.  We explore and connect a wide range of ideas from nonlinear and adaptive control to robotics, neuroscience, complex networks, optimization and machine learning.

Outline
00:00 - Intro
00:50 - Jean-Jacques' early life
06:17 - Why control?
09:45 - Sliding control and adaptive nonlinear control
18:47 - Neural networks
23:15 - First ventures in neuroscience
28:27 - Contraction theory and applications
48:26 - Synchronization
51:10 - Complex networks
57:59 - Optimization and machine learning
1:08:17 -  Advice to future students and outro

Episode links
NCCR Symposium: https://tinyurl.com/bdz84p4c
Sliding mode control: https://tinyurl.com/2s45ra4m
Applied nonlinear control: https://tinyurl.com/4wmbt4bw
On the Adaptive Control of Robot Manipulators: https://tinyurl.com/b7jcpkzw
Gaussian Networks for Direct Adaptive Control: https://tinyurl.com/22zb7pkx
The intermediate cerebellum may function as a wave-variable processor: https://tinyurl.com/2c34ytep
On contraction analysis for nonlinear systems: https://tinyurl.com/5cw4z9j8
Kalman conjecture: https://tinyurl.com/2pfjsbke
I. Prigogine: https://tinyurl.com/5ct8yssb
RNNs of RNNs: https://tinyurl.com/3mpt7fec
How Synchronization Protects from Noise: https://tinyurl.com/2p82erwp
Controllability of complex networks: https://tinyurl.com/24w7hdae
B. Anderson: https://tinyurl.com/e9pkyxdx
Online lectures on nonlinear control: https://tinyurl.com/525cnru4

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences as well as Brain and Cognitive Sciences, Director of the Nonlinear Systems Laboratory at the Massachusetts Institute of Technology, and Distinguished Faculty at Google AI.  We explore and connect a wide range of ideas from nonlinear and adaptive control to robotics, neuroscience, complex networks, optimization and machine learning.

Outline
00:00 - Intro
00:50 - Jean-Jacques' early life
06:17 - Why control?
09:45 - Sliding control and adaptive nonlinear control
18:47 - Neural networks
23:15 - First ventures in neuroscience
28:27 - Contraction theory and applications
48:26 - Synchronization
51:10 - Complex networks
57:59 - Optimization and machine learning
1:08:17 -  Advice to future students and outro

Episode links
NCCR Symposium: https://tinyurl.com/bdz84p4c
Sliding mode control: https://tinyurl.com/2s45ra4m
Applied nonlinear control: https://tinyurl.com/4wmbt4bw
On the Adaptive Control of Robot Manipulators: https://tinyurl.com/b7jcpkzw
Gaussian Networks for Direct Adaptive Control: https://tinyurl.com/22zb7pkx
The intermediate cerebellum may function as a wave-variable processor: https://tinyurl.com/2c34ytep
On contraction analysis for nonlinear systems: https://tinyurl.com/5cw4z9j8
Kalman conjecture: https://tinyurl.com/2pfjsbke
I. Prigogine: https://tinyurl.com/5ct8yssb
RNNs of RNNs: https://tinyurl.com/3mpt7fec
How Synchronization Protects from Noise: https://tinyurl.com/2p82erwp
Controllability of complex networks: https://tinyurl.com/24w7hdae
B. Anderson: https://tinyurl.com/e9pkyxdx
Online lectures on nonlinear control: https://tinyurl.com/525cnru4

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-11782505 Tue, 29 Nov 2022 18:00:00 +0100 4257 1 7 full false ep6 - Norbert Wiener and Cybernetics ep6 - Norbert Wiener and Cybernetics In this episode, we delve into the extraordinary life of Norbert Wiener, the founding father of cybernetics - the science “control and communication in the animal and the machine”.

Outline
00:00 - Intro
02:06 - The early years of Norbert
09:00 - Europe and WWI
15:50 - MIT days
19:30 - Norbert’s marriage
22:39 - Generalised harmonic analysis
28:18 - The interactions with Hopf and Paley
31:14 - Bush and the analog computer program
35:55 - WWII, Bigelow and prediction theory
40:41 - Rosenbleuth and teleological machines
47:56 - Mexico and Norbert’s biological investigations
51:25 - Cybernetics
1:00:16 - The human behind Norbert Wiener
1:01:53 - Outro
 
Episode links
Things named after Wiener: https://tinyurl.com/mt37xn93
Autobiography: https://tinyurl.com/2umws9nd
Biography: https://tinyurl.com/nhawc9az
Wiener filter: https://tinyurl.com/n9u5ukxe
Paley-Wiener theorem: https://tinyurl.com/mr3z3f89
Wiener-Kinchin theorem: https://tinyurl.com/3mxm54ac
Vannevar Bush: https://tinyurl.com/y6s7kz6t
Julian Bigelow: https://tinyurl.com/28m4a6as
Behavior, Purpose and Teleology: https://tinyurl.com/3ut2afjz
Arturo Rosenblueth: https://tinyurl.com/57wp67vh
Cybernetics:  https://tinyurl.com/5e3tnn6e
Out of control:  https://tinyurl.com/3rnhn3xh
A scientist rebels: https://tinyurl.com/5f2d3urc
Moral and technical consequences of automation: https://tinyurl.com/72tvzuxy

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, we delve into the extraordinary life of Norbert Wiener, the founding father of cybernetics - the science “control and communication in the animal and the machine”.

Outline
00:00 - Intro
02:06 - The early years of Norbert
09:00 - Europe and WWI
15:50 - MIT days
19:30 - Norbert’s marriage
22:39 - Generalised harmonic analysis
28:18 - The interactions with Hopf and Paley
31:14 - Bush and the analog computer program
35:55 - WWII, Bigelow and prediction theory
40:41 - Rosenbleuth and teleological machines
47:56 - Mexico and Norbert’s biological investigations
51:25 - Cybernetics
1:00:16 - The human behind Norbert Wiener
1:01:53 - Outro
 
Episode links
Things named after Wiener: https://tinyurl.com/mt37xn93
Autobiography: https://tinyurl.com/2umws9nd
Biography: https://tinyurl.com/nhawc9az
Wiener filter: https://tinyurl.com/n9u5ukxe
Paley-Wiener theorem: https://tinyurl.com/mr3z3f89
Wiener-Kinchin theorem: https://tinyurl.com/3mxm54ac
Vannevar Bush: https://tinyurl.com/y6s7kz6t
Julian Bigelow: https://tinyurl.com/28m4a6as
Behavior, Purpose and Teleology: https://tinyurl.com/3ut2afjz
Arturo Rosenblueth: https://tinyurl.com/57wp67vh
Cybernetics:  https://tinyurl.com/5e3tnn6e
Out of control:  https://tinyurl.com/3rnhn3xh
A scientist rebels: https://tinyurl.com/5f2d3urc
Moral and technical consequences of automation: https://tinyurl.com/72tvzuxy

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-11513053 Mon, 17 Oct 2022 09:00:00 +0200 3801 1 6 full false ep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz ep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz In this episode, our guest is Sean Meyn, Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida. The episode features Sean’s adventures in the areas of Markov chains, networks and Reinforcement Learning (RL) as well as anecdotes and trivia about beekeeping and jazz.

Outline
00:00 - Intro
00:22 - Sean’s early steps
03:53 - Markov chains
08:45 - Networks
18:26 - Stochastic approximation
25:00 - Reinforcement Learning
38:57 - The intersection of Reinforcement Learning and  Control
42:37 - Favourite theorem
44:05 - Beekeeping and jazz
48:47 - Outro

Episode links
Sean’s website: https://meyn.ece.ufl.edu/
Sean’s books: shorturl.at/CFGRY (and T. Sargent's review: shorturl.at/hlGNR)
G. Zames: shorturl.at/JPRWX (see also: shorturl.at/chiw5)
State space model: shorturl.at/hST07
The life and work of A.A. Markov: shorturl.at/qsv35
Fluid model: shorturl.at/HKN56
M/M/1 queue: shorturl.at/dQW36
Borkar-Meyn theorem: shorturl.at/eSTV4
NCCR Automation Symposia: shorturl.at/csv03 (see also shorturl.at/ekpZ3)
V. Konda’s PhD Thesis: shorturl.at/bdrv7

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Sean Meyn, Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida. The episode features Sean’s adventures in the areas of Markov chains, networks and Reinforcement Learning (RL) as well as anecdotes and trivia about beekeeping and jazz.

Outline
00:00 - Intro
00:22 - Sean’s early steps
03:53 - Markov chains
08:45 - Networks
18:26 - Stochastic approximation
25:00 - Reinforcement Learning
38:57 - The intersection of Reinforcement Learning and  Control
42:37 - Favourite theorem
44:05 - Beekeeping and jazz
48:47 - Outro

Episode links
Sean’s website: https://meyn.ece.ufl.edu/
Sean’s books: shorturl.at/CFGRY (and T. Sargent's review: shorturl.at/hlGNR)
G. Zames: shorturl.at/JPRWX (see also: shorturl.at/chiw5)
State space model: shorturl.at/hST07
The life and work of A.A. Markov: shorturl.at/qsv35
Fluid model: shorturl.at/HKN56
M/M/1 queue: shorturl.at/dQW36
Borkar-Meyn theorem: shorturl.at/eSTV4
NCCR Automation Symposia: shorturl.at/csv03 (see also shorturl.at/ekpZ3)
V. Konda’s PhD Thesis: shorturl.at/bdrv7

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-11159903 Thu, 18 Aug 2022 16:00:00 +0200 3202 1 5 full false ep4 - Alessandro Chiuso: From system identification to computer vision and back ep4 - Alessandro Chiuso: From system identification to computer vision and back In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html

Outline
00:00 - Intro 
01:51 - Research trajectory
03:52 - Influential figures 
08:20 - System identification
17:07 - Regularized system identification 
23:30 - Vision
28:40 - Data-driven methods
30:32 - Future of system identification
33:40 - Question from the audience
34:19 - Advice to future students
35:50 - Skiing at a semi-professional level

Episode links
Giorgio Picci's website: http://www.dei.unipd.it/~picci/
Stefano Soatto's website: http://web.cs.ucla.edu/~soatto/
ERNSI: https://people.kth.se/~bo/ERNSI/
System identification: https://en.wikipedia.org/wiki/System_identification
Regularized system identification:  https://tinyurl.com/yc7b7myt
Origin of “regularization”: https://tinyurl.com/y4jmk75f
Hirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_Akaike
Structure from motion: https://tinyurl.com/35canfnx
Dynamic textures: https://tinyurl.com/28bdwhwm
Skiing:  https://tinyurl.com/2p8xzau6

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html

Outline
00:00 - Intro 
01:51 - Research trajectory
03:52 - Influential figures 
08:20 - System identification
17:07 - Regularized system identification 
23:30 - Vision
28:40 - Data-driven methods
30:32 - Future of system identification
33:40 - Question from the audience
34:19 - Advice to future students
35:50 - Skiing at a semi-professional level

Episode links
Giorgio Picci's website: http://www.dei.unipd.it/~picci/
Stefano Soatto's website: http://web.cs.ucla.edu/~soatto/
ERNSI: https://people.kth.se/~bo/ERNSI/
System identification: https://en.wikipedia.org/wiki/System_identification
Regularized system identification:  https://tinyurl.com/yc7b7myt
Origin of “regularization”: https://tinyurl.com/y4jmk75f
Hirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_Akaike
Structure from motion: https://tinyurl.com/35canfnx
Dynamic textures: https://tinyurl.com/28bdwhwm
Skiing:  https://tinyurl.com/2p8xzau6

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-10947704 Tue, 12 Jul 2022 15:00:00 +0200 2311 1 4 full false ep3 - Ben Recht: A tour of optimization, machine learning, and control ep3 - Ben Recht: A tour of optimization, machine learning, and control In this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.  We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/

Outline
00:00 - Intro
01:01 - Ben predicts the birth of "inControl"
02:40 - Personal research trajectory
06:55 - How and why did you dive into control theory?
08:43 - Influential figures who shaped Ben's research
13:50 -  The "argmin" blog &  myth busting
27:43 - Ben's tour of reinforcement learning
45:18 - Future challenges for control
52:06 - Biological origin of learning
58:24 - "This or that" game
1:02:54 - Questions from the audience
1:14:51 - What would you do if you were a student today?
1:17:00 - Ben's band: "the fun years"

Episode links
Ben's website: http://people.eecs.berkeley.edu/~brecht/
argmin: http://www.argmin.net/
the fun years: http://thefunyears.com/
A tour of reinforcement learning: https://arxiv.org/abs/1806.09460
Patterns, predictions and actions: http://mlstory.org/
System level synthesis: https://arxiv.org/abs/1904.01634
Aizerman's conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjecture

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> In this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.  We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/

Outline
00:00 - Intro
01:01 - Ben predicts the birth of "inControl"
02:40 - Personal research trajectory
06:55 - How and why did you dive into control theory?
08:43 - Influential figures who shaped Ben's research
13:50 -  The "argmin" blog &  myth busting
27:43 - Ben's tour of reinforcement learning
45:18 - Future challenges for control
52:06 - Biological origin of learning
58:24 - "This or that" game
1:02:54 - Questions from the audience
1:14:51 - What would you do if you were a student today?
1:17:00 - Ben's band: "the fun years"

Episode links
Ben's website: http://people.eecs.berkeley.edu/~brecht/
argmin: http://www.argmin.net/
the fun years: http://thefunyears.com/
A tour of reinforcement learning: https://arxiv.org/abs/1806.09460
Patterns, predictions and actions: http://mlstory.org/
System level synthesis: https://arxiv.org/abs/1904.01634
Aizerman's conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjecture

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-10599777 Mon, 16 May 2022 13:00:00 +0200 4894 1 3 full false ep2 - Florian Dörfler: Power is nothing without control ep2 - Florian Dörfler: Power is nothing without control This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland.  We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/

Outline

00:00 - Intro 
01:03 - Personal research trajectory
05:57 - Influence of machine learning on control
07:52 - Why doing research in control?
09:51 - What would you change in control? 
11:36 - Where is the field heading?
14:20 - Favourite theorem in control theory
16:20 - Vision: what would you like to achieve?
17:03 - Influential figures
19:17 - Sociology and control
21:23 - What would you do if you were a student today?

Episode links

Florian's website: http://people.ee.ethz.ch/~floriand/
Gerschgorin theorem: https://en.wikipedia.org/wiki/Gershgorin_circle_theorem
Synchronization paper: https://www.pnas.org/doi/abs/10.1073/pnas.1212134110
Hamming - "A stroke of genius": https://www.mccurley.org/advice/hamming_advice.html 


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland.  We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/

Outline

00:00 - Intro 
01:03 - Personal research trajectory
05:57 - Influence of machine learning on control
07:52 - Why doing research in control?
09:51 - What would you change in control? 
11:36 - Where is the field heading?
14:20 - Favourite theorem in control theory
16:20 - Vision: what would you like to achieve?
17:03 - Influential figures
19:17 - Sociology and control
21:23 - What would you do if you were a student today?

Episode links

Florian's website: http://people.ee.ethz.ch/~floriand/
Gerschgorin theorem: https://en.wikipedia.org/wiki/Gershgorin_circle_theorem
Synchronization paper: https://www.pnas.org/doi/abs/10.1073/pnas.1212134110
Hamming - "A stroke of genius": https://www.mccurley.org/advice/hamming_advice.html 


Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-10599626 Mon, 16 May 2022 13:00:00 +0200 1430 1 2 full false ep1 - A brief prehistory of control theory ep1 - A brief prehistory of control theory This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat,  and governors, a class of mechanical devices,  which,  without exaggeration, have enabled the first industrial Revolution in Britain.

Outline
00:00 -Intro 
01:32 - Ktesibios
06:15 - Cornelis Drebble
11:55 - Governors

Episode links

Ktesibios

Drebble

Governors

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat,  and governors, a class of mechanical devices,  which,  without exaggeration, have enabled the first industrial Revolution in Britain.

Outline
00:00 -Intro 
01:32 - Ktesibios
06:15 - Cornelis Drebble
11:55 - Governors

Episode links

Ktesibios

Drebble

Governors

Support the show

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

]]> Alberto Padoan Buzzsprout-10599510 Mon, 16 May 2022 13:00:00 +0200 1148 1 1 full true