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:...

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,...

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...

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...

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...

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: h...

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 - Interpl...

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 res...

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 c...

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...

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 - Project matterhorn51:00 - Back to RAND56:14 - Curse of dimensionality1:02:41 - Divorce and remarriage1:08:29 - Greenglass affair1:14:21 - USC1:18:55 - Center for the Study of Democratic Institutions1:22:55 - Last years1:26:08 - OutroLinksR. Bellman: https://tinyurl.com/ydkmwexyC. M. Bellm...

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 industry34:40 Wireless control systems40:33 Platooning in freight transport49:27 Future of mobility52:55 Event-based control58:58 Cybersecurity1:05:10 Societal-scale challenges1:12:33 Bode lecture reflections1:15:05 Digital futures1:23:38 Advice for future studentsLinksKalle’s website: https://...

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 grids1:00:20 - Role of network structure1:05:03 - Data, systems, and society1:16:17 - On writing1:22:57 - Cascaded failures in networks1:30:40 - Information design1:34:29 - Data markets1:42:27 - On economics and engineering1:48:18 - Systems thinking for societal problems1:58:24 - Advice to fut...

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 & stochastic behavioural system theory38:39 - Stanford experience with Golub & Kailath53:30 - Return to Leuven: LS-SVMs, quantum information, and beyond1:07:48 - Multilinear algebra and tensor trains1:11:59 - Exact/approximate modelling and angles between systems1:25:34...

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 robots to robotic networks53:51 - Art gallery problem1:01:37 - Networked and cyber-physical systems1:21:47 - Contracting dynamics1:33:07 - Coupled oscillators and power grids1:47:20 - On mathematical sociology1:56:44 - Writing and publishing2:02:14 - About professional service2:08:04 -...

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 - How to build knowledge fast48:32 - Resourcium01:00:49 - The map of control theory 01:11:09 - IFAC Cartoons01:15:35 - Fundamentals of control theory book01:24:49 - The role of projects01:34:27 - Future of control education01:43:43 - Advice to future students LinksBrian’s website: https:...

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 ...38:59 - ... to Distributed Control of Spatially Invariant Systems49:02 - Taming the Navier-Stokes Equations50:55 - Advice to Future Students1:13:12 - Coherence in Large Scale Systems1:32:28 - On Resistive Losses in Power Systems1:39:00 - Cochlear Instabilities1:50:40 - Stochasticity in F...

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 signal model52:15 - Neuromorphics59:21 - Innovative ecosystems1:07:35 - Advice to future students1:16:26 - The role of luckLinksBiKi Technologies: https://t.ly/RuaW7R. Murray: https://t.ly/Zy_Up S. Sastry: https://t.ly/qsf44C. Tomlin: https://t.ly/tQ0XZPlatform-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 IBM33:30 - Logic Synthesis, Simulated Annealing, Timberwolf40:57 - The Intel x386, YACR, and ESPRESSO47:01 - The birth of Cadence and Synopsis1:06:01 - Corsi e Ricorsi in EDA1:30:45 - The Shift to Automotive and Platform-Based Design1:39:06 - OutroLinksAlberto’s website: https://tinyur...

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 - Modularity33:20 - Challenges in robot learning39:44 - Dexterous manipulation43:52 - Dynamical systems47:37 - Combining ML and control51:25 - Human-robot interaction54:24 - Safety and compliance57:54 - Deadlines for papers1:06:38 - Advice to future students1:07:08 - OutroLinksAude’s lab: ht...