Podcast "inControl"

The first podcast on control theory and related topics, including feedback, decision making, artificial intelligence, robotics and much more. The podcast is supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» at ETH Zürich, which you can check at the following link: https://nccr-automation.ch/nccr-automation

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Podcast "inControl"

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ep14 - Cleve Moler: Numerical Analyst, First MATLAB Programmer, and MathWorks Co-Founder

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

Erschienen: 10.07.2023
Dauer: 00:52:37

Weitere Informationen zur Episode "ep14 - Cleve Moler: Numerical Analyst, First MATLAB Programmer, and MathWorks Co-Founder"


ep13 - John Doyle, Part II: Architectures, Universal laws, Layers, Levels, and Diversity-enabled Sweet Spots

In this episode, we chat again with John Doyle about the frontiers of control theory. Starting from the fascinating interplay between bacteria, physics, and the Internet, we explore the universal laws that govern complex systems. We discuss the inner workings of phenomena like earthquakes, wildfires, and sepsis, emphasizing the vital role of control theory in understanding intrinsic tradeoffs and fragilities. Finally, we discuss the essential components of a full theory of architectures,  including universal laws, layers, levels, and diversity-enabled sweet spots. Outline 00:00 - Intro 03:00 - Complex systems, physics, and the Internet 08:31 - On power laws 13:45 - SBML: Systems Biology Markup Language 18:51 - Layered architectures 21:38 - Earthquakes 26:17 - Wildfires 28:25 - Sepsis 37:18 - Essentials of a theory of architectures 54:10 - Universal laws, layers and levels 1:00:30 - Diversity enabled sweet spots  1:12:49 - Witsenhausen’s counterexample and SLS 1:21:25 - On the internal model principle 1:29:38 - Evolution vs intelligent design 1:33:37 - Fragility and societal implications 1:44:31 - 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.

Erschienen: 14.06.2023
Dauer: 01:46:38

Weitere Informationen zur Episode "ep13 - John Doyle, Part II: Architectures, Universal laws, Layers, Levels, and Diversity-enabled Sweet Spots"


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

Erschienen: 15.05.2023
Dauer: 01:16:03

Weitere Informationen zur Episode "ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future"


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

Erschienen: 14.04.2023
Dauer: 01:20:40

Weitere Informationen zur Episode "ep11 - Mustafa Khammash: Cybergenetics"


ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Teaching, Rock & Roll Sound

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) - 29:57 - 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

Erschienen: 15.03.2023
Dauer: 01:20:59

Weitere Informationen zur Episode "ep10 - Stephen Boyd: Linear Matrix Inequalities, Convex Optimization, Disciplined Convex Programming, Teaching, Rock & Roll Sound"


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 Electrical 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 coSupport the show

Erschienen: 15.02.2023
Dauer: 01:24:04

Weitere Informationen zur Episode "ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds"


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

Erschienen: 16.01.2023
Dauer: 01:04:04

Weitere Informationen zur Episode "ep8 - Anuradha Annaswamy: Adaptive Control - From the "Brave Era" to Reinforcement Learning and Back"


ep 7 - 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

Erschienen: 29.11.2022
Dauer: 01:10:57

Weitere Informationen zur Episode "ep 7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning"


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

Erschienen: 17.10.2022
Dauer: 01:03:21

Weitere Informationen zur Episode "ep6 - Norbert Wiener and Cybernetics"


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

Erschienen: 18.08.2022
Dauer: 00:53:22

Weitere Informationen zur Episode "ep 5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz"


Podcast "inControl"
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