inControl
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- 14 out 2026
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The first podcast on control theory.
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Episódios 49
ep49 - inControl @ IFAC 2026 - M. Vidyasagar, H. Khalil, S. Boyd - So you want to write a classic?
Outline00:00 - Intro02:30 - Did anyone know they were writing a classic?11:07 - When course notes become a textbook15:36 - Who is the reader? Monographs written for future researchers20:23 - Students or …
Notas do episódio
Outline
00:00 - Intro
02:30 - Did anyone know they were writing a classic?
11:07 - When course notes become a textbook
15:36 - Who is the reader? Monographs written for future researchers
20:23 - Students or professors? "Spread spectrum" writing
24:55 - The fourth audience: large language models
36:03 - The discipline of cutting
42:10 - Intellectual economy: the aesthetic and the utilitarian test
50:52 - Formalism versus clarity of thought
58:10 - What makes a book last?
61:39 - Free books and open access
64:13 - Audience questions
71:18 - Should young authors use AI?
73:09 - The classic of 2050: will it be a book at all?
77:00 - Outro
Links
M. Vidyasagar's website: https://iith.ac.in/inst/m.vidyasagar/
Hassan Khalil's website: https://www.egr.msu.edu/~khalil/
Stephen Boyd's website: https://web.stanford.edu/~boyd/
Desoer & Vidyasagar, Feedback Systems: Input-Output Properties: https://doi.org/10.1137/1.9780898719055
Vidyasagar, Nonlinear Systems Analysis: https://doi.org/10.1137/1.9780898719185
Vidyasagar, Learning and Generalization: https://doi.org/10.1007/978-1-4471-3748-1
Calafiore & Campi, "The scenario approach to robust control design": https://doi.org/10.1109/TAC.2006.875041
Khalil, Nonlinear Systems: https://www.egr.msu.edu/~khalil/NonlinearSystems/
Khalil, Nonlinear Control: https://www.egr.msu.edu/~khalil/NonlinearControl/
Khalil, Control Systems: An Introduction (free): https://control.eecs.umich.edu
Kokotović, Khalil & O'Reilly, Singular Perturbation Methods in Control: https://doi.org/10.1137/1.9781611971118
Boyd, El Ghaoui, Feron & Balakrishnan, Linear Matrix Inequalities in System and Control Theory (free): https://web.stanford.edu/~boyd/lmibook/
Boyd & Vandenberghe, Convex Optimization (free): https://web.stanford.edu/~boyd/cvxbook/
Boyd & Vandenberghe, Introduction to Applied Linear Algebra (free): https://web.stanford.edu/~boyd/vmls/
Boyd, Parikh, Chu, Peleato & Eckstein, "Distributed optimization and statistical learning via ADMM": https://doi.org/10.1561/2200000016
CVXPY: https://www.cvxpy.org/
This episode was recorded live on 24 August 2026 at the 23rd IFAC World Congress in Busan, Korea. Special thanks to the congress organizers for hosting the session, and to everyone in the room who participated by sending questions.Podcast info
Podcast website: https://www.incontrolpodcast.com/
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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.ep48 - Romeo Ortega: From sliding modes to adaptive, passivity-based and energy-shaping control
Outline00:00 - Intro01:31 - Mexico City to Leningrad: a communist girlfriend, and a year of Russian05:40 - Sliding modes at the source10:38 - France: Ioan Landau, Laurent Praly, and dynamic normalization16:25 …
Notas do episódio
Outline
00:00 - Intro
01:31 - Mexico City to Leningrad: a communist girlfriend, and a year of Russian
05:40 - Sliding modes at the source
10:38 - France: Ioan Landau, Laurent Praly, and dynamic normalization
16:25 - Continuity, robustness, and the Rohrs counterexamples
24:18 - On Gerhard Kreisselmeier
28:04 - Illinois and Mexico
35:31 - Mark Spong, Twente, and passivity-based control
46:32 - Energy shaping, damping injection, and total energy shaping
49:50 - IDA-PBC, written on a napkin in a Paris café
58:09 - Putting Energy Back in Control, Slotine, and the dissipation obstacle
1:02:50 - Where good problems come from: knock on the practitioners' door
1:06:23 - Immersion and invariance
1:13:40 - Power shaping, Brayton and Moser, and shifted passivity
1:19:29 - Power systems and going back to Russia
1:27:23 - DREM: the adjugate trick that decouples parameter estimation
1:31:11 - Sensorless observers
1:34:44 - A seminar in Yakubovich's flat and on data-driven control
1:41:47 - Advice to the next generation
1:44:43 - Outro
Links
Romeo Ortega's website: https://facultad.itam.mx/facultad/romeo-ortega-martinez
Utkin, "Variable structure systems with sliding modes": https://doi.org/10.1109/TAC.1977.1101446
Variable structure systems with chattering reduction: https://doi.org/10.1016/0005-1098(84)90076-1
Robustness of discrete-time direct adaptive controllers (dynamic normalization): https://doi.org/10.1109/TAC.1985.1103890
Robustness of adaptive controllers, a survey: https://doi.org/10.1016/0005-1098(89)90023-X
Comments on the robust stability analysis of adaptive controllers using normalizations: https://doi.org/10.1109/9.28033
Feuer & Morse, "Adaptive control of single-input single-output linear systems": https://doi.org/10.1109/TAC.1978.1101822
Rohrs, Valavani, Athans & Stein, "Robustness of continuous-time adaptive control algorithms in the presence of unmodeled dynamics": https://doi.org/10.1109/TAC.1985.1104070
Åström's commentary on the Rohrs et al. paper: https://doi.org/10.1109/TAC.1985.1104066
Hsu & Costa, "Bursting phenomena in continuous-time adaptive systems with a sigma-modification": https://doi.org/10.1109/TAC.1987.1104440
Karafyllis & Krstić, "Robust Adaptive Control: Deadzone-Adapted Disturbance Suppression": https://doi.org/10.1137/1.9781611978438
Discrete-time model reference adaptive control using generalized sampled-data hold functions: https://doi.org/10.1109/9.50351
Kreisselmeier, "The generation of adaptive law structures for globally convergent adaptive observers": https://doi.org/10.1109/TAC.1979.1102066
Gao, Bosso, Wang, Saussié & Yi, "Input-output data-driven stabilization of continuous-time linear MIMO systems": https://arxiv.org/abs/2511.06524
Adaptive motion control of rigid robots, a tutorial (where "passivity-based control" is coined): https://doi.org/10.1016/0005-1098(89)90054-X
Takegaki & Arimoto, "A new feedback method for dynamic control of manipulators": https://doi.org/10.1115/1.3139651
Torque regulation of induction motors: https://doi.org/10.1016/0005-1098(93)90059-3
Passivity-based Control of Euler-Lagrange Systems: https://doi.org/10.1007/978-1-4471-3603-3
PID Passivity-Based Control of Nonlinear Systems with Applications: https://doi.org/10.1002/9781119694199
PID passivity-based control of port-Hamiltonian systems (all passive outputs): https://doi.org/10.1109/TAC.2017.2732283
Energy-shaping of port-controlled Hamiltonian systems by interconnection: https://doi.org/10.1109/CDC.1999.830260
Interconnection and damping assignment passivity-based control of port-controlled Hamiltonian systems (IFAC High Impact Paper Award 2026): https://doi.org/10.1016/S0005-1098(01)00278-3
Putting energy back in control: https://doi.org/10.1109/37.915398
Slotine, "Putting physics in control": https://doi.org/10.1109/37.9164
Chang, Bloch, Leonard, Marsden & Woolsey, "The equivalence of controlled Lagrangian and controlled Hamiltonian systems": https://doi.org/10.1051/cocv:2002045
The matching conditions of controlled Lagrangians and IDA-passivity based control: https://doi.org/10.1080/00207170210135939
Control by interconnection and standard passivity-based control of port-Hamiltonian systems: https://doi.org/10.1109/TAC.2008.2006930
Ferguson & Borja, "Control-by-interconnection beyond Casimirs and connections to IDA-PBC": https://doi.org/10.1109/TAC.2026.3661486
Immersion and invariance, a new tool for stabilization and adaptive control of nonlinear systems: https://doi.org/10.1109/TAC.2003.809820
Nonlinear and Adaptive Control with Applications: https://doi.org/10.1007/978-1-84800-066-7
Brayton & Moser, "A theory of nonlinear networks I": https://doi.org/10.1090/qam/169746
Power shaping, a new paradigm for stabilization of nonlinear RLC circuits: https://doi.org/10.1109/TAC.2003.817918
Passivity of nonlinear incremental systems: https://doi.org/10.1016/j.sysconle.2007.03.011
Interconnection and damping assignment approach to control of PM synchronous motors: https://doi.org/10.1109/87.960344
An energy-shaping approach to the design of excitation control of synchronous generators: https://doi.org/10.1016/S0005-1098(02)00177-2
Transient stabilization of multimachine power systems with nontrivial transfer conductances: https://doi.org/10.1109/TAC.2004.840477
Conditions for stability of droop-controlled inverter-based microgrids: https://doi.org/10.1016/j.automatica.2014.08.009
A parameter estimation approach to state observation of nonlinear systems (PEBO): https://doi.org/10.1016/j.sysconle.2015.09.008
Performance enhancement of parameter estimators via dynamic regressor extension and mixing (DREM): https://doi.org/10.1109/TAC.2016.2614889
On modified parameter estimators for identification and adaptive control: https://doi.org/10.1016/j.arcontrol.2020.06.002
Generalized parameter estimation-based observers (GPEBO): https://doi.org/10.1016/j.automatica.2021.109635
Sensorless control of surface-mount permanent-magnet synchronous motors: https://doi.org/10.1109/TPEL.2009.2025276
A globally exponentially convergent sensorless observer for the IPMSM: https://doi.org/10.1016/j.automatica.2025.112138
Willems, "The behavioral approach to open and interconnected systems": https://doi.org/10.1109/MCS.2007.906923
Abramovich, Kuznetsov & Leonov, "V. A. Yakubovich, mathematician, father of the field": https://doi.org/10.1016/j.ifacol.2015.09.150Podcast 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.ep47 - Tore Hägglund and José Luis Guzman: the art of PID control
Outline00:00 - Intro08:35 - What is PID control?12:15 - The history: Minorsky, 1922, and steering ships21:00 - The lambda method, IMC, and analytical tuning28:45 - Set-point weighting and two degrees of …
Notas do episódio
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
A Practical Guide to PID Controller Implementation: https://arxiv.org/abs/2604.15918Podcast info
Podcast website: https://www.incontrolpodcast.com/
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Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
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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.ep46 - The fall of LTCM: Bachelier, Merton, and Black–Scholes ... when stochastic control met Wall Street
Outline00:00 - Intro02:25 - Bachelier and the Théorie de la Spéculation03:05 - Stochastic processes, Brownian motion, and the heat equation09:45 - Poincaré's verdict, obscurity, and rediscovery13:50 …
Notas do episódio
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.pdfPodcast info
Podcast website: https://www.incontrolpodcast.com/
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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.ep45 - Peter Caines: from stochastic and adaptive control to mean field games, graphons, and beyond!
Outline 00:00 - Intro 02:10 - London in the 1960s12:40 - From Oxford to Imperial College: David Mayne and the discrete-time Riccati equation 18:05 - The "global tour": Montenegro roads, hitch-hiking to …
Notas do episódio
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 - OutroLinks
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=8IBZyRo0vDkPodcast info
Podcast website: https://www.incontrolpodcast.com/
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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.ep44 - Mario di Bernardo: From Circuits to Cells and Swarms — Control meets Complexity
Outline00:00 - 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 …
Notas do episódio
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/s41467-025-63071-4Podcast 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.ep43 - Steve Brunton: DMD, Koopman, SINDy, Eigensteve Channel, HydroGym, Optimization, and much more
Outline00:00 - Intro01:15 - 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 …
Notas do episódio
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 - OutroLinks
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/hydrogymPodcast 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.ep42 - inControl guide to ... the Nyquist criterion
Outline00:00 – Intro04:43 – Life and background08:45 – Bell Labs13:42 – Inventing the negative feedback amplifier18:15 – Nyquist's landmark contributions20:43 – Regeneration theory27:10 – Frequency …
Notas do episódio
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 – OutroLinks
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.2023.3234016Podcast 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.ep41 - A minimal history of optimal control
Outline00:00 - Intro02:55 - Brachistochrone problem20:52 - Beginning of the calculus of variations32:00 - Principle of least action42:37 - Maximum principle1:02:35 - Dynamic programming1:11:12 - Linear …
Notas do episódio
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 - OutroLinks
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/ydrf8jscPodcast 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.ep40 - Jeff Shamma: gain scheduling, nonlinear control, learning & dissipativity in games, jiu-jitsu
Outline00:00 - Intro03:18 - Early days: why control, M. Athans, and IDSS12:21 - What is gain scheduling?33:37 - Paradigm shifts & the ‘90s: Minnesota → Texas → LA 42:19 - Robustness & fundamental limitations of …
Notas do episódio
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/376r5r9xPodcast 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.ep39 - Female influencers in control
Outline00:00 - Intro05:01 - Female Influencers in Control — The Backstory08:08 - Sofya Kovalevskaya15:21 - Irmgard Lotz26:16 - A new wave of control influencers34:26 - Some data43:38 - What can one do? 1:00:10 …
Notas do episódio
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/mv879ahfCharlotta 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
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.ep38 - inControl guide to ... Feedback
Outline00:00 – Intro07:22 – Anatomy of a feedback loop15:12 – A brief historical recap on the history of feedback23:40 – Inventing the negative feedback amplifier34:28 – Feedback in biology, economics, society …
Notas do episódio
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 – OutroLinks
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/yvs3wnj8Podcast 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.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 & …
Notas do episódio
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 - OutroLinks
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/msvnd4dvPodcast 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.ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice
Outline00:00 – Intro00:51 – Early steps in research09:55 – Historical overview of traffic control25:20 – What is traffic?34:06 – Road traffic control45:37 – PI control of road junctions58:19 – From macroscopic …
Notas do episódio
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
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.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 …
Notas do episódio
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 studentsLinks
- 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/5525xys2Podcast 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.ep34 - inControl guide to ... Controllability & Observability
Outline00:00 - Intro01:06 - The big idea03:42 - Controllability, observability, and ... the space race!14:52 - Kálmán and the state-space paradigm00:00 - The math and intuition: state-space basics, definitions …
Notas do episódio
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 - OutroLinks
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/3zk99n4sPodcast 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.ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization
Outline00:00 - Intro00:42 - “Research should be fun”02:02 - Early steps in research09:00 - Book writing and meeting C. Desoer18:33 - Control synthesis via the factorization approach25:46 - The graph metric …
Notas do episódio
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
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.ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control
Outline00:00 - Intro and early steps in control06:42 - Journey to the US08:30 - Kharitonov's theorem and early influences12:10 - From Lund to KTH (Stockholm)15:01 - Ascona and collaboration with …
Notas do episódio
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/3swjtvabPodcast 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.ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control
Outline00:00 - Intro01:07 - Early steps02:47 - Why control?05:20 - The move to the US07:40 - The first journal paper13:30 - What is backstepping?17:08 - Grad school25:10 - Stochastic stabilization29:53 - The …
Notas do episódio
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/2av9r253Podcast 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.ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control
Outline00:00 - Intro03:26 - Development: ETH Zürich07:15 - Growth: Minnesota and Wisconsin36:16 - Productivity: Caltech53:28 - Change: ETH Zürich01:37:18 - Continuity: University of Pennsylvania01:45:36 …
Notas do episódio
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/3f9fk73wPodcast 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.ep29 - Richard Bellman: The Father of Dynamic Programming
Outline 00:00 - Intro02:42 - Early life10:24 - WWII, Johns Hopkins, Belleville, Madison 17:17 - Princeton 20:30 - Los Alamos24:12 - Back to Princeton31:01 - RAND + Stanford 42:10 - Dynamic programming46:06 …
Notas do episódio
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/3vkupdtyPodcast 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.ep28 - Karl Henrik Johansson: Semper in Motu - Hybrid Systems, Wireless and Event-Based Control, Mobility, Cybersecurity, and Societal Challenges
Outline00:00 Intro01:19 Swedish control heritage and early steps05:21 PhD at Lund and relay feedback systems15:40 Berkeley years19:58 Hybrid systems26:46 Networked control systems30:32 Interaction with …
Notas do episódio
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/h3nyb22nPodcast 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.ep27 - Munther Dahleh: L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problems
Outline00:00 - Intro02:14 - Early steps in control05:36 - L1 control17:09 - Relay feedback systems24:32 - Agile robotic maneuvers29:31 - Abstractions and models41:59 - Causality49:35 - Markets and power …
Notas do episódio
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 studentsLinks
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/esvbtprbPodcast 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.ep26 - Bart De Moor: subspace identification, linear & multilinear algebra, quantum information, ML
Outline00:00 - Intro00:49 - Early education and PhD in control10:35 - Non-negative linear algebra & modelling uncertainty principle22:50 - Influence of Willems & the Frisch scheme34:27 - Subspace identification …
Notas do episódio
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/3x9dmjnkPodcast 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.ep25 - Francesco Bullo: Geometric control, robotic networks, networked systems, mathematical sociology, contraction theory
Outline01:16 - Intro02:28 - Early steps in Italy and California13:00 - From Riemannian geometry …17:01 - … to geometric control, robotics and locomotion34:54 - Academic environment at Caltech35:06 - From single …
Notas do episódio
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/4vs9mnyvPodcast 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.ep24 - Brian Douglas: Boeing, Control Videos, Resourcium, Map of Control Theory, Cartoons, Mathworks
Outline00:00 - Intro01:00 - From Boeing to Planetary Resources08:57 - The origin of control videos17:07 - About teaching style20:52 - The (unnecessary?) math behind controls26:54 - On interdisciplinarity31:35 …
Notas do episódio
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/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.ep23 - Bassam Bamieh: Sampled Data Systems, PDEs, Distributed Control of Spatially Invariant Systems, Coherence, Resistive Losses, Cochlear Instabilities, and Stochasticity in Feedback Loops
Outline00:00 - Intro01:17 - Early Years04:17 - The “Scenic Route” to Control Theory12:44 - Sampled Data Systems22:26 - Linear Parameter Varying (LPV) Identification28:07 - From Distributed Systems and PDEs …
Notas do episódio
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/yc7dbmtjPodcast 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.ep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, Neuromorphics
Outline00:00 - Intro01:28 - Platform-based design (PBD) in biology16:42 - Cyberphysical systems, automotive industry, hybrid systems27:32 - Contracts in system design34:50 - Chiplets41:48 - About time: the tag …
Notas do episódio
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/3b2zt5crPodcast 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.ep21 - Alberto Sangiovanni Vincentelli, Part I: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based design
Outline00:00 - Intro02:40 - Classic Studies06:51 - Early Steps in Berkeley between Optimization and Circuits Theory16:04 - Back to Italy... and back to Berkeley26:29 - The SPICE program and the interaction with …
Notas do episódio
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 - OutroLinks
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/w3chmuttPodcast 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.ep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot Interaction
Outline00:00 - Intro00:58 - Early steps… in physics!05:17 - AI in Edinburgh08:00 - Connectionism10:37 - Robot learning19:02 - Imitation learning23:00 - On pursuing a PhD24:45 - Californian chronicles30:10 …
Notas do episódio
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/mpwntktyPodcast 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.
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