inControl

Alberto Padoan

The first podcast on control theory and related topics, including feedback, decision making, artificial intelligence, robotics and much more. read less

ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future
May 15 2023
ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future
In this episode, we sit down with John Doyle, a living legend in the field of robust control, to delve into his incredible journey in control theory. We explore his past at MIT and Honeywell, his time at Berkeley, and his journey through the golden age of robustness. From his groundbreaking work on margins of systems, \mu synthesis, and the H_\infty problem, to his insights on System Level Synthesis (SLS) and modern control architectures, John shares his thoughts on the past, present, and future of robust control. Along the way, we listen to John's fascinating stories, including his astonishing sport records and his thrilling Panamanian adventure. 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/3cavzz9yPodcast 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, as well as the ETH and mirrorlake studios. Music was composed by A New Element. Support the show
ep11 - Mustafa Khammash: Cybergenetics
Apr 14 2023
ep11 - Mustafa Khammash: Cybergenetics
In this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH Zürich and guides us in this episode as we explore Cybergenetics - the cutting-edge intersection of control theory and synthetic biology. From biomolecular control to antithetic motifs, we discuss real-world applications and ethical dilemmas. Don't miss it!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/3a2bm35fPodcast 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios. Music was composed by A New Element. Support the show
ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Rock & Roll
Mar 15 2023
ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Rock & Roll
In this episode, our guest is Stephen Boyd. Stephen is the Samsung Professor in the School of Engineering at Stanford University.  Join as we dive deep into control, convex optimization, linear matrix inequalities, disciplined convex programming, teaching styles, and... rock & roll sound!Outline- 00:00 - Intro - 07:48 - Early years at Berkeley  - 10:25 - The role of theory in practice - 16:19 - On traveling (intellectually)- 19:40 - Convex optimization  - 31:51 - On Linear Matrix Inequalities (LMIs) - 39:57 - Convex Optimization Control Policies  (COCPs)- 50:20 - CVX and Disciplined Convex Programming (DCP)- 58:14 - About AI - 1:03:58 - Teaching - 1:11:07 - Open source and publishing - 1:15:13 - Future of control and advice to future students - 1:20:08 - 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/52v9fu83Podcast 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios. Music was composed by A New Element. Support the show
ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds
Feb 15 2023
ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds
Our guest in this episode is Rodolphe Sepulchre, Professor of Engineering at KU Leuven in the Deparment of Electrical Engineering (STADIUS) and at the University of Cambridge in the Deparment of Engineering  (Control Group).  We dive into Rodophe's scientific journey across nonlinear control, neuroscience and optimization on manifolds through the unifying lens of control theory.Outline- 00:00 - Intro - 03:54 - Why control? - 11:08 - Spiking control systems - 20:47 - The mixed feedback principle - 23:52 - On thermodynamics - 25:17 - Event-based systems - 29:33 - On dissipativity theory - 48:00 - Stability, positivity and monotonicity - 55:00 - Control, cybernetics and neuroscience - 59:10 - Neuromorphic control principles - 01:00:01 - Optimization on manifolds - 01:05:01 - Influential figures - 01:08:52 - On the future of control - 01:12:35 - Advice to future students - 01:15:01 - About creativity - 01:20:35 - 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/yckpnybp Podcast 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios. Music was composed by A New Element. Support the show
ep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and Back
Jan 16 2023
ep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and Back
In this episode, our guest is Anuradha Annaswamy. Anu is the Director of the Active-Adaptive Control Laboratory and Senior Research Scientist at the Massachusetts Institute of Technology in the Deparment of Mechanical Engineering.  We delve into adaptive control and its exciting history, ranging from the Brave Era to the audacious X15 tests and to modern intersections with Reinforcement Learning. Outline02:15 - Anu's background 05:20 - What is adaptation? 08:30 - The Brave Era 15:17 - The X15 accident  23:16 - Exploration vs exploitation 28:35 - Beyond linearity and time invariance 45:05 - Adaptive control vs Reinforcement Learning 52:12 - The future of adaptive control 54:34 - OutroEpisode linksAnu's lab:  http://aaclab.mit.edu/NCCR Symposium: https://tinyurl.com/bdz84p4cBook - Stable adaptive systems: https://tinyurl.com/mw4saame X-15 Flight 3-65-97: https://tinyurl.com/2kbe7nsyPaper - Adaptive Control and the NASA X-15-3 Flight Revisited: https://tinyurl.com/2p83k7ezPaper - A historical perspective of adaptive control and learning: https://tinyurl.com/yck89rcdPaper -Adaptive Control and Intersections with Reinforcement Learning: https://tinyurl.com/yc27rsydKYP Lemma: https://tinyurl.com/mkf35jjt Persistence of excitation: https://tinyurl.com/bpfwp9n9 Dual control: https://tinyurl.com/ywduzm5x Paper - Robust adaptive control in the presence of bounded disturbances:  https://tinyurl.com/4pztx23z Paper -  Reinforcement learning is direct adaptive optimal control https://tinyurl.com/appnjzynMRAC: https://tinyurl.com/bdzzphju Self Tuning Control: https://tinyurl.com/3mjs3skmPodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Acknowledgments 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios.Music was composed by A New Element. Support the show
ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning
Nov 29 2022
ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning
In this episode, our guest is Jean-Jacques Slotine, Professor of Mechanical Engineering and Information Sciences as well as Brain and Cognitive Sciences, Director of the Nonlinear Systems Laboratory at the Massachusetts Institute of Technology, and Distinguished Faculty at Google AI.  We explore and connect a wide range of ideas from nonlinear and adaptive control to robotics, neuroscience, complex networks, optimization and machine learning.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/525cnru4Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://tinyurl.com/5n84j85jSpotify: https://tinyurl.com/4rwztj3cRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://tinyurl.com/bdbvhsj6Facebook: https://tinyurl.com/3z24yr43Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Acknowledgments 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 B. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios.Music was composed by A New Element. Support the show
ep6 - Norbert Wiener and Cybernetics
Oct 17 2022
ep6 - Norbert Wiener and Cybernetics
In this episode, we delve into the extraordinary life of Norbert Wiener, the founding father of cybernetics - the science “control and communication in the animal and the machine”. 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/72tvzuxyPodcast infoPodcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002 Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf RSS: https://feeds.buzzsprout.com/1632769.rss Youtube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featured Facebook: https://www.facebook.com/InControl-podcast-114303337936834 Twitter: https://twitter.com/IncontrolP Instagram: https://www.instagram.com/incontrol_podcast/ Patreon: https://www.patreon.com/incontrolpodcast/ Acknowledgments 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 A. Bastani, B. Sawicki, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH and mirrorlake studios.  Music was composed by A New Element.Support the show
ep 5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz
Aug 18 2022
ep 5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz
In this episode, our guest is Sean Meyn, Professor and Robert C. Pittman Eminent Scholar Chair in the Department of Electrical and Computer Engineering at the University of Florida. The episode features Sean’s adventures in the areas of Markov chains, networks and Reinforcement Learning (RL) as well as anecdotes and trivia about beekeeping and jazz.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/bdrv7Podcast infoPodcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002 Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf RSS: https://feeds.buzzsprout.com/1632769.rss Youtube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featured Facebook: https://www.facebook.com/InControl-podcast-114303337936834 Twitter: https://twitter.com/IncontrolP Instagram: https://www.instagram.com/incontrol_podcast/ Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments 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 A. Bastani, B. Sawicki, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, as well as the ETH  and mirrorlake studios. Music was composed by A New Element.Support the show
ep 4 - Alessandro Chiuso: From system identification to computer vision and back
Jul 12 2022
ep 4 - Alessandro Chiuso: From system identification to computer vision and back
In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html 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/2p8xzau6Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here: https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to A. Bastani, B. Sawicki, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio (P. Zumbrunnen), and mirrorlake studio (R. Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
ep3 - Ben Recht: A tour of optimization, machine learning, and control
May 16 2022
ep3 - Ben Recht: A tour of optimization, machine learning, and control
In this episode, our guest is Ben Recht. Ben is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.  We discuss several topics, including his research trajectory, Ben's tour of reinforcement learning, and his passion for music, among others. Check out Ben's website here: http://people.eecs.berkeley.edu/~brecht/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_conjecturePodcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here:https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
ep2 - Florian Dörfler: Power is nothing without control
May 16 2022
ep2 - Florian Dörfler: Power is nothing without control
This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland.  We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/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 Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here:https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show
ep1 - A brief prehistory of control theory
May 16 2022
ep1 - A brief prehistory of control theory
This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat,  and governors, a class of mechanical devices,  which,  without exaggeration, have enabled the first industrial Revolution in Britain.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).  Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002 Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf RSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/Patreon: https://www.patreon.com/incontrolpodcast/Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here: https://nccr-automation.ch/nccr-automationThe podcast benefits from the help of an incredibly talented and passionate team. Special thanks to Arian Bastani, Benjamin Sawicki, Elise Cahard, Florian Dorfler, Frederik Banis, John Lygeros, ETH studio (Philipp Zumbrunnen), and mirrorlake studio (Roman Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged. Music was composed by A New Element.Support the show