inControl

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 for energy systems: https://t.ly/RJdpiState charts: https://tinyurl.com/yw69przwContracts for system design: https://tinyurl.com/496e953kFormal methods: https://tinyurl.com/2yftcwswChiplets: https://tinyurl.com/mrxyswua A framework for comparing models of computation: https://tinyurl.com/2awyw3crCategory theory: https://tinyurl.com/3bbfjdv9E. Frazzoli: https://tinyurl.com/mspckmpdA. Censi: https://tinyurl.com/5c87wuyxA mathematical theory of co-design: https://tinyurl.com/ydp6jvp8Prophesee: https://tinyurl.com/mtf9hpfmNeuralink: https://tinyurl.com/bdcww89eOpeneye: https://tinyurl.com/3vh6ydmkEpictetus:  https://tinyurl.com/57ef2rudSeneca: https://tinyurl.com/f7zuyz4dF. Nietzsche: https://tinyurl.com/bd7znm4nJ. P. Sartre: https://tinyurl.com/3b2zt5crSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.

Outline00:00 - Intro01:05 - Dancing and control theory03:31 - Geometric control on Lie groups09:14 - Underwater vehicles and geometric mechanics18:45 - On the Hamiltonian framework21:25 - Underwater field experiments in Monte Rey Bay 36:27 - Collective motion and coordination in animal groups54:40 - Honeybees and bifurcation theory1:03:36 - OutroLinksNaomi’s website: http://tinyurl.com/j755aww5Naomi’s PhD Thesis: http://tinyurl.com/ywkvvy7kLie group: http://tinyurl.com/2p83jw9sAveraging: http://tinyurl.com/df9kmmcwStability of underwater vehicles: http://tinyurl.com/yxxytufxJ. Marsden: http://tinyurl.com/zvm8kkttA. Block: http://tinyurl.com/6wc39zkdCenter of buoyancy: http://tinyurl.com/mszncamhControlled Lagrangians: http://tinyurl.com/22usb52e - http://tinyurl.com/ymmntvr8Casimir function: http://tinyurl.com/yckc99mkMonterey Bay field experiments: http://tinyurl.com/yc24adct -  http://tinyurl.com/3sd7ee39 - http://tinyurl.com/ywryjwvr Collective motion: http://tinyurl.com/yuna5pam - http://tinyurl.com/pau74hmc - http://tinyurl.com/4p7zd5szSpatial patterns in coordinated groups: http://tinyurl.com/45y7hc9v-  http://tinyurl.com/5n7rm6vfKuramoto model: http://tinyurl.com/5eshfxhaDecision making in animal groups: http://tinyurl.com/3ybne8hn - http://tinyurl.com/283yts4y Value-Sensitive Decision-Making in honeybees: http://tinyurl.com/2uhcwyy6Bifurcation: http://tinyurl.com/tfr3ks7aSingularity theory: http://tinyurl.com/4Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.

Outline00:00 - Intro00:47 - Mind the gap (metric)03:16 - Moment problems and Nevanlinna interpolation06:53 - “Everything relates to everything else”11:27 - Distances between power spectra 16:08 - Optimal mass transport and Schrödinger bridges32:25 - Sinkhorn iteration and Wasserstein geometry37:45 - Color of turbulence41:38 - Thermodynamics and energy harvesting from heat baths55:01 - Quantum mechanics57:55 - Adjustable one-ports1:07:20 - “Aha moments” and advice to future generations1:12:20 - OutroLinksTryphon’s website: https://georgiou.eng.uci.edu/Robustness analysis of nonlinear feedback systems: an input-output approach (paper): https://tinyurl.com/4785kxnyA topological approach to Nevanlinna–Pick interpolation (paper): https://tinyurl.com/4vudtz8cA generalized entropy criterion for Nevanlinna-Pick interpolation with degree constraint (paper): https://tinyurl.com/39enabucThe meaning of distances in spectral analysis, IEEE CDC plenary 2007 (slides): https://tinyurl.com/mrytp7j8Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I (paper): https://tinyurl.com/2nbm3sa6Y. Chen - https://tinyurl.com/37frfx67M. Pavon - https://tinyurl.com/yjhbawhbMittag Lefler - https://tinyurl.com/29cjum7jStochastic control liasons (paper): https://tinyurl.com/4s8y775bSinkhorn iteration: https://tinyurl.com/ym5catr2Color of turbulence (paper): https://tinyurl.com/5n77bepbHarvesting energy from a periodic heat bath (paper): https://tinyurl.com/2vadpu93Principles of lossless adjustable one-ports (paper): https://tinyurl.com/53v23yt4Inerter: https://tinyurl.com/ya2bkkhwSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.

Outline00:00 - Intro01:50 - Running marathons 05:19 - The Center13:28 - On creativity15:24 - From algebraic system theory to moment problems43:39 - The gap metric58:33 - The longstanding friendship and collaboration with M. Smith01:11:30 - On causality and the arrow of time LinksTryphon’s website: https://georgiou.eng.uci.edu/People in control interview: https://tinyurl.com/4nw5s9p6R. Kalman: https://tinyurl.com/mux93t32A. Tannenbaum: https://tinyurl.com/2pws6rzdMoment problem - https://tinyurl.com/3u38xy9fNevanlinna–Pick interpolation - https://tinyurl.com/3nw56kjPh.D. Thesis: https://tinyurl.com/3c5ba8frOn the computation of the gap metric: https://tinyurl.com/tamnufmaUncertainty in Unstable Systems: The Gap Metric - https://tinyurl.com/4w7sn73nVidyasagar’s paper on the graph metric - https://tinyurl.com/5xn3rks6Optimal robustness in the gap metric - https://tinyurl.com/7axewjpyM. Smith - https://tinyurl.com/3ym2fbp9M. Vidyasagar - https://tinyurl.com/4fnwtjv7K. Glover - https://tinyurl.com/45zwpva9C. Foias - https://tinyurl.com/wxt378tjCommutant lifting theorem - https://tinyurl.com/bdfzxnf2D. Sarason - https://tinyurl.com/5n6n568fRobust Stability of Feedback Systems: A Geometric Approach Using the Gap Metric - https://tinyurl.com/bbv2hmy8Intrinsic difficulties in using the doubly-infinite time axis for input-output control theory - https://tinyurl.com/3cdbc9n2Erdős number - https://tinyurl.com/bdex5pf6Causal system - https://tinyurl.com/ythze2h7Feedback control and the arrow of time - https://tinyurSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, we dive into the world of flying robots with Davide Scaramuzza (University of Zürich), a leading expert in vision-based navigation, agile drone racing, perception-aware control, and the cutting-edge neuromorphic technology of event cameras. We explore the challenges of autonomous navigation in GPS-denied environments, the excitement of drone racing, the future of robotics, and the revolutionary potential of event-based cameras.Outline00:58 - Magic 02:58 - Visual SLAM and autonomous driving05:32 - Flying without a GPS11:01 - sFly project - Vision-based autonomous flight18:14 - Next steps22:30 - Drone racing and agile flying51:30 - Perception-aware control58:47 - On robustness1:02:46 - Risk-aware control and illumination1:07:52 - Event-based cameras1:15:37 - Agile flying  with event-based cameras1:19:28 - Event-based control and neuromorphic technology1:25:42 - Future of robotics1:30:55 - Advice to future students Links- Davide’s website: https://rpg.ifi.uzh.ch/people_scaramuzza.html- Copperfield at Niagara Falls: https://tinyurl.com/4wydc2s3- Ambitious card: https://tinyurl.com/5723kf8s- R. Siegwart: https://tinyurl.com/mr3sn472- sFly project: https://tinyurl.com/43hrffcx- DARPA challenge: https://tinyurl.com/5n7dnkmz- PTAM: https://tinyurl.com/epypbbmz- ROS: https://www.ros.org/- Acado: https://acado.github.io/- Drone racer - Nature paper: https://tinyurl.com/2rws2pjm- Drone racing - video: https://t.co/g9ckjV3O3N- Drone racing league: https://www.drl.io/ - Time-optimal MPCC: https://tinyurl.com/3udn5raf- Event-based vision: https://rpg.ifi.uzh.ch/research_dvs.html- T. Delbruck: https://tinyurl.com/4acymkxf- Event-based vision: a survey: https://tinyurl.com/2hwcmk9t- Event based vision and control paper: Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, we chat with Cleve Moler, a pioneer in numerical mathematics,  creator of MATLAB and co-founder of MathWorks. We cover the birth of MATLAB, along with captivating stories about the origin of the iconic MathWorks logo, the enigmatic "why" command, the concept of "embarrassingly parallel computations," and the mysterious Pentium bug, among other. Outline00:00 - Intro  05:23 - Advice to students 05:45 - Caltech & J. Todd 07:07 - Stanford & G. Forsythe08:27 - The MathWorks logo  11:50 - ETH Zürich & Stiefel16:51 - Householder meetings 19:48 - LINPACK & EISPACK projects  26:10 - The birth of MATLAB 29:42 - Stanford course and the founding of Mathworks 38:40 - Embarrassingly parallel computing39:54 - The pentium bug 43:58 - SIAM and matrix exponentials47:19 - Future of mathematics51:36 - OutroLinksCleve’s corner - https://blogs.mathworks.com/cleve/Mathworks - https://mathworks.com/ History of Matlab - https://tinyurl.com/3dupkb7wDatatron computer - https://tinyurl.com/4kmcw95rJ. Todd - https://tinyurl.com/2s432wzcG. Forsythe - https://tinyurl.com/5583cfwxMathWorks logo - https://tinyurl.com/yc4th7sk E. Stiefel - https://tinyurl.com/ys4r2h96 J. Wilkinson - https://tinyurl.com/ye23bkdc LINPACK - https://tinyurl.com/39d7rwxk Computer solutions of linear algebraic systems - https://tinyurl.com/h9z7s342 Argonne Labs - https://www.anl.gov/ J. Dongarra - https://tinyurl.com/juzrw6y6 Embarrassingly parallel - https://tinyurl.com/yck38a4yPentium bug - https://tinyurl.com/4k7dt76p 19 dubious ways to compute the exponential of a matrix - https://tinyurl.com/yeyjy2bw Perron-Frobenius theorem - https://tinyurl.com/fa59dv32 O. Taussky - https://tinyurl.com/yckeSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, we chat again with John Doyle about the frontiers of control theory. Starting from the fascinating interplay between bacteria, physics, and the Internet, we explore the universal laws that govern complex systems. We discuss the inner workings of phenomena like earthquakes, wildfires, and sepsis, emphasizing the vital role of control theory in understanding intrinsic tradeoffs and fragilities. Finally, we discuss the essential components of a full theory of architectures,  including universal laws, layers, levels, and diversity-enabled sweet spots. Outline 00:00 - Intro 03:00 - Complex systems, physics, and the Internet 08:31 - On power laws 13:45 - SBML: Systems Biology Markup Language 18:51 - Layered architectures 21:38 - Earthquakes 26:17 - Wildfires 28:25 - Sepsis 37:18 - Essentials of a theory of architectures 54:10 - Universal laws, layers and levels 1:00:30 - Diversity enabled sweet spots  1:12:49 - Witsenhausen’s counterexample and SLS 1:21:25 - On the internal model principle 1:29:38 - Evolution vs intelligent design 1:33:37 - Fragility and societal implications 1:44:31 - OutroLinks Highly optimized tolerances and power laws paper: https://tinyurl.com/3yk2mycpRobust perfect adaptation in bacterial chemotaxis paper: https://tinyurl.com/3fn62a73SBML: https://sbml.org/Internet congestion control paper: https://tinyurl.com/4rjcd724The Structure of Scientific Revolutions: https://tinyurl.com/44n9y23uWildfires paper: https://tinyurl.com/2dvdh8apTurbulence paper: https://tinyurl.com/3sbsf8njSepsis paper: https://tinyurl.com/55wse56fDistributed LQG with delays paper: https://tinyurl.com/2abjdmb4Diversity-enabled sweet spots in layered architectures paper: https://tinyurl.com/vvaxvwb8Mountain biking game: https://tinyurl.com/46yh559rSystem-level synthesis paper: https://tinyurl.com/2ez64jevInternal feedback in biological control paper:  https://tinyurl.com/576zdfrxSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, we sit down with John Doyle, a living legend in the field of robust control, to delve into his incredible journey in control theory. We explore his past at MIT and Honeywell, his time at Berkeley, and his journey through the golden age of robustness. From his groundbreaking work on margins of systems, \mu synthesis, and the H_\infty problem, to his insights on System Level Synthesis (SLS) and modern control architectures, John shares his thoughts on the past, present, and future of robust control. Along the way, we listen to John's fascinating stories, including his astonishing sport records and his thrilling Panamanian adventure. Outline00:00 - Intro03:58 - Selected record-breaking athletics feats09:47 - The Panamanian adventure13:41 - Early steps in control: the MIT & Honeywell years 32:24 - The move to Berkeley and the golden age of robustness 46:06 -  To H_\infty and beyond 50:47 - DGKF: The solution of the H_\infty problem 1:02:40 - A glimpse of System Level Syntheis  (SLS) 1:07:27 - The challenge of our age: a theory of architecture design 1:12:34 - How to fix the theory-practice gap 1:15:05 - OutroLinksJohn’s website: https://doyle.caltech.edu/Main_PageSport records: https://tinyurl.com/4f7uapjt The Panamanian adventure: https://tinyurl.com/3zf4x5f7John’s master thesis: https://tinyurl.com/5c4bt5kkPaper - Guaranteed margins for LQG: https://tinyurl.com/3pjdvjmkPaper - Multivariable feedback design: ...  https://tinyurl.com/4uv8a6yzJohn’s PhD Thesis: https://tinyurl.com/27mew2kuPaper -  Feedback and optimal sensitivity: ... :  https://tinyurl.com/2p8a5vbhPaper - Performance and robustness analysis for structured uncertainty: https://tinyurl.com/mr78ajwxPaper - State-space solutions to standard H2 and H∞ control problems: https://tinyurl.com/4ru2ssc9Witsenhausen’s counterexample: https://tinyurl.com/3cavzz9ySupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH Zürich and guides us in this episode as we explore Cybergenetics - the cutting-edge intersection of control theory and synthetic biology. From biomolecular control to antithetic motifs, we discuss real-world applications and ethical dilemmas. Don't miss it!Outline00:00 - Intro00:50 - Cybergenetics02:22 - Genetics 10105:07- Where control meets biology06:49 - Mustafa's early steps in biology: why do dairy cows get milk fever?12:05 - Systems and synthetic biology14:34 - History of synthetic biology17:16 - On biological computing23:23 - On biomolecular control29:27 - The birth of the Antithetic motif for molecular feedback control39:25 - Enabling technologies48:28 - How the antithetic motif works57:20 - Model organisms 01:00:45 - Applications of Cybergenetics 01:06:45 - Ethical dilemmas in Cybergenetics01:10:57 - On the internal model principle01:16:01 - Advice to future students01:19:51 - OutroLinks - Mustafa’s website: https://bsse.ethz.ch/ctsb- Paper on calcium regulation: https://tinyurl.com/4p9xu8j2- History of synthetic biology: https://tinyurl.com/2p8ej8fw- Motifs: https://tinyurl.com/3vcnjvj3- Paper - In silico feedback for in vivo regulation of a gene expression circuit: https://tinyurl.com/yw98d8k8- Paper - A universal biomolecular integral feedback controller for robust perfect adaptation: https://tinyurl.com/bddux4x3- Optogenetics: https://tinyurl.com/r6yw9s37- About the fluorescent protein: https://tinyurl.com/bdzm37fs- Electroporation: https://tinyurl.com/3hhjxanp- Paper - Cybergenetics: Theory and Applications of Genetic Control Systems: https://tinyurl.com/222f8924- Paper - Universal structural requirements for maximal robust perfect adaptation in biomolecular networks: https://tinyurl.com/3a2bm35fSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University.  Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!Outline- 00:00 - Intro - 07:48 - Early years at Berkeley  - 10:25 - The role of theory in practice - 16:19 - On traveling (intellectually)- 19:40 - Convex optimization  - 31:51 - On Linear Matrix Inequalities (LMIs) - 39:57 - Convex Optimization Control Policies  (COCPs)- 50:20 - CVX and Disciplined Convex Programming (DCP)- 58:14 - About AI - 1:03:58 - Teaching - 1:11:07 - Open source and publishing - 1:15:13 - Future of control and advice to future students - 1:20:08 - OutroEpisode links- Stephen’s website: https://tinyurl.com/yrmk6p2w - CSM acceptance speech: https://tinyurl.com/43yhs583- L. Chua: https://tinyurl.com/k4zx4vya - C. Desoer: https://tinyurl.com/4euxvcxx - S. Sastry: https://tinyurl.com/2p9hfrha - G. Dantzig: https://tinyurl.com/2s4m3jvz - Simplex algorithm: https://tinyurl.com/2r8bxwe5 - Interior point methods: https://tinyurl.com/4ev4z6zm - Invariants and dissipated quantities: https://tinyurl.com/43zswmwt - Linear matrix inequalities: https://tinyurl.com/4y57date - COCP paper: https://tinyurl.com/468apvdx - Keynote talk at L4DC: https://tinyurl.com/2y3z4v68 - Model Predictive Control (MPC): https://tinyurl.com/bdf8r2sx - DCP: https://tinyurl.com/yc38kvae  - YALMIP: https://tinyurl.com/mr3rk2r4 - Stephen's books: https://tinyurl.com/52v9fu83Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Our guest in this episode is Rodolphe Sepulchre, Professor of Engineering at KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering  (Control Group).  We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.Outline- 00:00 - Intro - 03:54 - Why control? - 11:08 - Spiking control systems - 20:47 - The mixed feedback principle - 23:52 - On thermodynamics - 25:17 - Event-based systems - 29:33 - On dissipativity theory - 48:00 - Stability, positivity and monotonicity - 55:00 - Control, cybernetics and neuroscience - 59:10 - Neuromorphic control principles - 01:00:01 - Optimization on manifolds - 01:05:01 - Influential figures - 01:08:52 - On the future of control - 01:12:35 - Advice to future students - 01:15:01 - About creativity - 01:20:35 - OutroEpisode links- Rodolphe's lab: https://tinyurl.com/yc4bubyy - IEEE CSM editorials: https://tinyurl.com/2bhch6w3 - Spiking control systems: https://tinyurl.com/3x6pwm9m- O. Pamuk: https://tinyurl.com/4akzyk37 - Event based control: https://tinyurl.com/5apuh5kw - A simple neuron servo: https://tinyurl.com/4pjnkx5u - C. Mead: https://tinyurl.com/mr29xta9 - L. Chua: https://tinyurl.com/5n935ssp - Inventing the negative feedback amplifier: https://tinyurl.com/4573rv2d - Hodgkin-Huxley model: https://tinyurl.com/mr46cv79 - R. Ashby: https://tinyurl.com/45jrp6hw - G. J. Minty: https://tinyurl.com/4u4v22ue  - J. C. Willems: https://tinyurl.com/3zthcxc2 - P. Kokotovic: https://tinyurl.com/mrymffch - Wholeness and the Implicate Order: https://tinyurl.com/yckpnybpSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences as well as Brain and Cognitive Sciences, Director of the Nonlinear Systems Laboratory at the Massachusetts Institute of Technology, and Distinguished Faculty at Google AI.  We explore and connect a wide range of ideas from nonlinear and adaptive control to robotics, neuroscience, complex networks, optimization and machine learning.Outline00:00 - Intro00:50 - Jean-Jacques' early life06:17 - Why control? 09:45 - Sliding control and adaptive nonlinear control18:47 - Neural networks 23:15 - First ventures in neuroscience28:27 - Contraction theory and applications48:26 - Synchronization51:10 - Complex networks57:59 - Optimization and machine learning1:08:17 -  Advice to future students and outro Episode linksNCCR Symposium: https://tinyurl.com/bdz84p4c Sliding mode control: https://tinyurl.com/2s45ra4mApplied nonlinear control: https://tinyurl.com/4wmbt4bwOn the Adaptive Control of Robot Manipulators: https://tinyurl.com/b7jcpkzwGaussian Networks for Direct Adaptive Control: https://tinyurl.com/22zb7pkxThe intermediate cerebellum may function as a wave-variable processor: https://tinyurl.com/2c34ytepOn contraction analysis for nonlinear systems: https://tinyurl.com/5cw4z9j8Kalman conjecture: https://tinyurl.com/2pfjsbkeI. Prigogine: https://tinyurl.com/5ct8yssb RNNs of RNNs: https://tinyurl.com/3mpt7fecHow Synchronization Protects from Noise: https://tinyurl.com/2p82erwp Controllability of complex networks: https://tinyurl.com/24w7hdaeB. Anderson: https://tinyurl.com/e9pkyxdxOnline lectures on nonlinear control: https://tinyurl.com/525cnru4Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, we delve into the extraordinary life of Norbert Wiener, the founding father of cybernetics - the science “control and communication in the animal and the machine”. Outline00:00 - Intro02:06 - The early years of Norbert09:00 - Europe and WWI15:50 - MIT days19:30 - Norbert’s marriage22:39 - Generalised harmonic analysis28:18 - The interactions with Hopf and Paley31:14 - Bush and the analog computer program35:55 - WWII, Bigelow and prediction theory40:41 - Rosenbleuth and teleological machines47:56 - Mexico and Norbert’s biological investigations51:25 - Cybernetics1:00:16 - The human behind Norbert Wiener1:01:53 - Outro Episode linksThings named after Wiener: https://tinyurl.com/mt37xn93 Autobiography: https://tinyurl.com/2umws9nd Biography: https://tinyurl.com/nhawc9azWiener filter: https://tinyurl.com/n9u5ukxePaley-Wiener theorem: https://tinyurl.com/mr3z3f89Wiener-Kinchin theorem: https://tinyurl.com/3mxm54ac Vannevar Bush: https://tinyurl.com/y6s7kz6tJulian Bigelow: https://tinyurl.com/28m4a6asBehavior, Purpose and Teleology: https://tinyurl.com/3ut2afjzArturo Rosenblueth: https://tinyurl.com/57wp67vh Cybernetics:  https://tinyurl.com/5e3tnn6eOut of control:  https://tinyurl.com/3rnhn3xhA scientist rebels: https://tinyurl.com/5f2d3urcMoral and technical consequences of automation: https://tinyurl.com/72tvzuxySupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Sean Meyn, Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida. The episode features Sean’s adventures in the areas of Markov chains, networks and Reinforcement Learning (RL) as well as anecdotes and trivia about beekeeping and jazz.Outline00:00 - Intro00:22 - Sean’s early steps03:53 - Markov chains08:45 - Networks18:26 - Stochastic approximation25:00 - Reinforcement Learning38:57 - The intersection of Reinforcement Learning and  Control42:37 - Favourite theorem44:05 - Beekeeping and jazz48:47 - OutroEpisode linksSean’s website: https://meyn.ece.ufl.edu/Sean’s books: shorturl.at/CFGRY (and T. Sargent's review: shorturl.at/hlGNR)G. Zames: shorturl.at/JPRWX (see also: shorturl.at/chiw5)State space model: shorturl.at/hST07 The life and work of A.A. Markov: shorturl.at/qsv35Fluid model: shorturl.at/HKN56M/M/1 queue: shorturl.at/dQW36Borkar-Meyn theorem: shorturl.at/eSTV4NCCR Automation Symposia: shorturl.at/csv03 (see also shorturl.at/ekpZ3)V. Konda’s PhD Thesis: shorturl.at/bdrv7Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html Outline00:00 - Intro 01:51 - Research trajectory03:52 - Influential figures 08:20 - System identification17:07 - Regularized system identification 23:30 - Vision28:40 - Data-driven methods30:32 - Future of system identification33:40 - Question from the audience34:19 - Advice to future students35:50 - Skiing at a semi-professional levelEpisode linksGiorgio Picci's website: http://www.dei.unipd.it/~picci/Stefano Soatto's website: http://web.cs.ucla.edu/~soatto/ERNSI: https://people.kth.se/~bo/ERNSI/System identification: https://en.wikipedia.org/wiki/System_identificationRegularized system identification:  https://tinyurl.com/yc7b7mytOrigin of “regularization”: https://tinyurl.com/y4jmk75fHirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_AkaikeStructure from motion: https://tinyurl.com/35canfnxDynamic textures: https://tinyurl.com/28bdwhwmSkiing:  https://tinyurl.com/2p8xzau6Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

In this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.  We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/Outline00:00 - Intro 01:01 - Ben predicts the birth of "inControl"02:40 - Personal research trajectory06:55 - How and why did you dive into control theory?08:43 - Influential figures who shaped Ben's research13:50 -  The "argmin" blog &  myth busting27:43 - Ben's tour of reinforcement learning45:18 - Future challenges for control52:06 - Biological origin of learning58:24 - "This or that" game1:02:54 - Questions from the audience1:14:51 - What would you do if you were a student today?1:17:00 - Ben's band: "the fun years"Episode linksBen's website: http://people.eecs.berkeley.edu/~brecht/argmin: http://www.argmin.net/the fun years: http://thefunyears.com/A tour of reinforcement learning: https://arxiv.org/abs/1806.09460Patterns, predictions and actions: http://mlstory.org/System level synthesis: https://arxiv.org/abs/1904.01634 Aizerman's conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjectureSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland.  We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/Outline00:00 - Intro 01:03 - Personal research trajectory05:57 - Influence of machine learning on control07:52 - Why doing research in control?09:51 - What would you change in control? 11:36 - Where is the field heading?14:20 - Favourite theorem in control theory16:20 - Vision: what would you like to achieve?17:03 - Influential figures19:17 - Sociology and control21:23 - What would you do if you were a student today?Episode linksFlorian's website: http://people.ee.ethz.ch/~floriand/Gerschgorin theorem: https://en.wikipedia.org/wiki/Gershgorin_circle_theoremSynchronization paper: https://www.pnas.org/doi/abs/10.1073/pnas.1212134110Hamming - "A stroke of genius": https://www.mccurley.org/advice/hamming_advice.html Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat,  and governors, a class of mechanical devices,  which,  without exaggeration, have enabled the first industrial Revolution in Britain.Outline00:00 -Intro 01:32 - Ktesibios06:15 - Cornelis Drebble11:55 - GovernorsEpisode linksO. Mayr - The origins of feedback controlK. Kelly - Out of ControlKtesibioshttps://en.wikipedia.org/wiki/CtesibiusDrebblehttps://en.wikipedia.org/wiki/Cornelis_Drebbelhttps://nautil.us/issue/12/feedback/the-vulgar-mechanic-and-his-magical-ovenhttps://sites.google.com/site/ukdrebbel/GovernorsJ.C. Maxwell, “On Governors,”Proc. of the Royal Society of London, vol. 16, pp. 270-283, 1868.S.Bennett- A History of Control Engineering 1800-1930Special issue on control education - The United Kingdom, by M.C. Smith, IEEE Control Systems Magazine, pp. 51-56, April 1996 (check also here).  Support the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.

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://tinyurl.com/2w8t8fzaState-space approach in problem-solving optimization: https://tinyurl.com/bdcnmbhpEDA: https://tinyurl.com/3dur7ythSPICE: https://tinyurl.com/yxm56txyLogic Minimization Algorithms for VLSI Synthesis: https://tinyurl.com/49bnw3bySimulated annealing: https://tinyurl.com/mryz45pzTimberwolf: https://tinyurl.com/mvm28wnnIntel 386: https://tinyurl.com/4z7ubb55Cadence: https://tinyurl.com/hydjj92zSynopsis: https://tinyurl.com/463vk8mkDracula: https://tinyurl.com/kcum5v8tCorsi e ricorsi - the EDA story: https://tinyurl.com/mwar9p44G. Vico: https://tinyurl.com/cb4mp7nzFinite state machine: https://tinyurl.com/4ckszk2nSystem-level design: orthogonalization of concerns and platform-based design: https://tinyurl.com/v2t4njt4Quo Vadis, SLD? Reasoning About the Trends and Challenges of System Level Design: https://tinyurl.com/mpmmstunRemembering Richard: https://tinyurl.com/yc6rf7u3W. Shockley: https://tinyurl.com/w3chmuttSupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.

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: http://tinyurl.com/4nsx2kraRobot learning: http://tinyurl.com/2ty25t2rConnectionism: http://tinyurl.com/mrd76zfxI. Demiris: http://tinyurl.com/nhhn6ymuHebbian learning: http://tinyurl.com/35ey7um5DRAMA (paper): http://tinyurl.com/4fvbs867Imitation learning: http://tinyurl.com/2af3aew4Mirror neurons: http://tinyurl.com/4nd3sm75G. Rizzolatti: http://tinyurl.com/5b4xfab5Embodied cognition: http://tinyurl.com/5284kp8fA biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphvM. Airbib: http://tinyurl.com/3bu3y5dzRecent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xkSynthetic brain imaging (paper): http://tinyurl.com/38uerwk7Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9mFeasibility not optimality (video): http://tinyurl.com/mwa8b7etLearning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8On human compliance (paper): http://tinyurl.com/4vp2kmhwDeadlines for conferences: http://tinyurl.com/mpwntktySupport the showPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://tinyurl.com/yc2fcv4yYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://tinyurl.com/35cu4kr4Acknowledgments and sponsorsThis 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.