inControl

Outline 00:00 - Intro 01:28 - Platform-based design (PBD) in biology 16:42 - Cyberphysical systems, automotive industry, hybrid systems 27:32 - Contracts in system design 34:50 - Chiplets 41:48 - About time: the tag signal model 52:15 - Neuromorphics 59:21 - Innovative ecosystems 1:07:35 - Advice to future students 1:16:26 - The role of luck Links BiKi Technologies: https://t.ly/RuaW7 R. Murray: https://t.ly/Zy_Up S. Sastry: https://t.ly/qsf44 C. Tomlin: https://t.ly/tQ0XZ Platform-based design for energy systems: https://t.ly/RJdpi State charts: https://tinyurl.com/yw69przw Contracts for system design: https://tinyurl.com/496e953k Formal methods: https://tinyurl.com/2yftcwsw Chiplets: https://tinyurl.com/mrxyswua A framework for comparing models of computation: https://tinyurl.com/2awyw3cr Category theory: https://tinyurl.com/3bbfjdv9 E. Frazzoli: https://tinyurl.com/mspckmpd A. Censi: https://tinyurl.com/5c87wuyx A mathematical theory of co-design: https://tinyurl.com/ydp6jvp8 Prophesee: https://tinyurl.com/mtf9hpfm Neuralink: https://tinyurl.com/bdcww89e Openeye: https://tinyurl.com/3vh6ydmk Epictetus: https://tinyurl.com/57ef2rud Seneca: https://tinyurl.com/f7zuyz4d F. Nietzsche: https://tinyurl.com/bd7znm4n J. P. Sartre: https://tinyurl.com/3b2zt5cr Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 02:40 - Classic Studies 06:51 - Early Steps in Berkeley between Optimization and Circuits Theory 16:04 - Back to Italy... and back to Berkeley 26:29 - The SPICE program and the interaction with IBM 33:30 - Logic Synthesis, Simulated Annealing, Timberwolf 40:57 - The Intel x386, YACR, and ESPRESSO 47:01 - The birth of Cadence and Synopsis 1:06:01 - Corsi e Ricorsi in EDA 1:30:45 - The Shift to Automotive and Platform-Based Design 1:39:06 - Outro Links Alberto’s website: https://tinyurl.com/2w8t8fza State-space approach in problem-solving optimization: https://tinyurl.com/bdcnmbhp EDA: https://tinyurl.com/3dur7yth SPICE: https://tinyurl.com/yxm56txy Logic Minimization Algorithms for VLSI Synthesis: https://tinyurl.com/49bnw3by Simulated annealing: https://tinyurl.com/mryz45pz Timberwolf: https://tinyurl.com/mvm28wnn Intel 386: https://tinyurl.com/4z7ubb55 Cadence: https://tinyurl.com/hydjj92z Synopsis: https://tinyurl.com/463vk8mk Dracula: https://tinyurl.com/kcum5v8t Corsi e ricorsi - the EDA story: https://tinyurl.com/mwar9p44 G. Vico: https://tinyurl.com/cb4mp7nz Finite state machine: https://tinyurl.com/4ckszk2n System-level design: orthogonalization of concerns and platform-based design: https://tinyurl.com/v2t4njt4 Quo Vadis, SLD? Reasoning About the Trends and Challenges of System Level Design: https://tinyurl.com/mpmmstun Remembering Richard: https://tinyurl.com/yc6rf7u3 W. Shockley: https://tinyurl.com/w3chmutt Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 00:58 - Early steps… in physics! 05:17 - AI in Edinburgh 08:00 - Connectionism 10:37 - Robot learning 19:02 - Imitation learning 23:00 - On pursuing a PhD 24:45 - Californian chronicles 30:10 - Modularity 33:20 - Challenges in robot learning 39:44 - Dexterous manipulation 43:52 - Dynamical systems 47:37 - Combining ML and control 51:25 - Human-robot interaction 54:24 - Safety and compliance 57:54 - Deadlines for papers 1:06:38 - Advice to future students 1:07:08 - Outro Links Aude’s lab: http://tinyurl.com/4nsx2kra Robot learning: http://tinyurl.com/2ty25t2r Connectionism: http://tinyurl.com/mrd76zfx I. Demiris: http://tinyurl.com/nhhn6ymu Hebbian learning: http://tinyurl.com/35ey7um5 DRAMA (paper): http://tinyurl.com/4fvbs867 Imitation learning: http://tinyurl.com/2af3aew4 Mirror neurons: http://tinyurl.com/4nd3sm75 G. Rizzolatti: http://tinyurl.com/5b4xfab5 Embodied cognition: http://tinyurl.com/5284kp8f A biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphv M. Airbib: http://tinyurl.com/3bu3y5dz Recent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xk Synthetic brain imaging (paper): http://tinyurl.com/38uerwk7 Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9m Feasibility not optimality (video): http://tinyurl.com/mwa8b7et Learning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8 On human compliance (paper): http://tinyurl.com/4vp2kmhw Deadlines for conferences: http://tinyurl.com/mpwntkty Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 01:33 - Starling Flock Formations 07:17 - Harvesters ants in the desert 16:54 - Decision making in the natural world and opinion dynamics 32:08 - A geometric look at political polarization 36:50 - Control theory and dancing 53:25 - CreativeX 55:25 - On creativity 57:47 - Advice to future students Links Andrea Cavagna - http://tinyurl.com/uywn592j Irene Giardina - http://tinyurl.com/4jmk2h5n Starling Flock Networks Manage Uncertainty in Consensus at Low Cost: http://tinyurl.com/hc7wz5zp Regulation of harvester ant foraging: http://tinyurl.com/4s7samff Fitz-Hugh-Nagumo model: http://tinyurl.com/yer32bhs Bistability and Resurgent Epidemics in Reinfection Models: http://tinyurl.com/2p98fhpc SIR model: http://tinyurl.com/mrxdjvyc Multi-agent system dynamics: Bifurcation and behavior of animal groups: http://tinyurl.com/ycx6ue2z Fast and Flexible Multiagent Decision-Making: http://tinyurl.com/yd3azrje A. Franci - http://tinyurl.com/5y5cn9yz A. Bizyaeva - http://tinyurl.com/3trp7c53 M. Golubitsky - http://tinyurl.com/5ebkdtnc I. Stewart - http://tinyurl.com/53nws9yz Multi-agent Decision-Making Dynamics Inspired by Honeybees: http://tinyurl.com/3jxmrkvd Nonlinear Opinion Dynamics With Tunable Sensitivity: http://tinyurl.com/33mb23tb The Nonlinear Feedback Dynamics of Asymmetric Political Polarization: http://tinyurl.com/rjdntrbp Flock logic: http://tinyurl.com/yyze25sz There may be others: http://tinyurl.com/fetjhecn Social decision-making driven by artistic explore-exploit tension: http://tinyurl.com/4r2uxebr Rhythmbots: http://tinyurl.com/mr3k9f43 CreativeX (Naomi's website): http:// Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 01:05 - Dancing and control theory 03:31 - Geometric control on Lie groups 09:14 - Underwater vehicles and geometric mechanics 18:45 - On the Hamiltonian framework 21:25 - Underwater field experiments in Monte Rey Bay 36:27 - Collective motion and coordination in animal groups 54:40 - Honeybees and bifurcation theory 1:03:36 - Outro Links Naomi’s website: http://tinyurl.com/j755aww5 Naomi’s PhD Thesis: http://tinyurl.com/ywkvvy7k Lie group: http://tinyurl.com/2p83jw9s Averaging: http://tinyurl.com/df9kmmcw Stability of underwater vehicles: http://tinyurl.com/yxxytufx J. Marsden: http://tinyurl.com/zvm8kktt A. Block: http://tinyurl.com/6wc39zkd Center of buoyancy: http://tinyurl.com/mszncamh Controlled Lagrangians: http://tinyurl.com/22usb52e - http://tinyurl.com/ymmntvr8 Casimir function: http://tinyurl.com/yckc99mk Monterey 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/4p7zd5sz Spatial patterns in coordinated groups: http://tinyurl.com/45y7hc9v- http://tinyurl.com/5n7rm6vf Kuramoto model: http://tinyurl.com/5eshfxha Decision making in animal groups: http://tinyurl.com/3ybne8hn - http://tinyurl.com/283yts4y Value-Sensitive Decision-Making in honeybees: http://tinyurl.com/2uhcwyy6 Bifurcation: http://tinyurl.com/tfr3ks7a Singularity theory: http://tinyurl.com/4 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 00:47 - Mind the gap (metric) 03:16 - Moment problems and Nevanlinna interpolation 06:53 - “Everything relates to everything else” 11:27 - Distances between power spectra 16:08 - Optimal mass transport and Schrödinger bridges 32:25 - Sinkhorn iteration and Wasserstein geometry 37:45 - Color of turbulence 41:38 - Thermodynamics and energy harvesting from heat baths 55:01 - Quantum mechanics 57:55 - Adjustable one-ports 1:07:20 - “Aha moments” and advice to future generations 1:12:20 - Outro Links Tryphon’s website: https://georgiou.eng.uci.edu/ Robustness analysis of nonlinear feedback systems: an input-output approach (paper): https://tinyurl.com/4785kxny A topological approach to Nevanlinna–Pick interpolation (paper): https://tinyurl.com/4vudtz8c A generalized entropy criterion for Nevanlinna-Pick interpolation with degree constraint (paper): https://tinyurl.com/39enabuc The meaning of distances in spectral analysis, IEEE CDC plenary 2007 (slides): https://tinyurl.com/mrytp7j8 Optimal Steering of a Linear Stochastic System to a Final Probability Distribution, Part I (paper): https://tinyurl.com/2nbm3sa6 Y. Chen - https://tinyurl.com/37frfx67 M. Pavon - https://tinyurl.com/yjhbawhb Mittag Lefler - https://tinyurl.com/29cjum7j Stochastic control liasons (paper): https://tinyurl.com/4s8y775b Sinkhorn iteration: https://tinyurl.com/ym5catr2 Color of turbulence (paper): https://tinyurl.com/5n77bepb Harvesting energy from a periodic heat bath (paper): https://tinyurl.com/2vadpu93 Principles of lossless adjustable one-ports (paper): https://tinyurl.com/53v23yt4 Inerter: https://tinyurl.com/ya2bkkhw Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline 00:00 - Intro 01:50 - Running marathons 05:19 - The Center 13:28 - On creativity 15:24 - From algebraic system theory to moment problems 43:39 - The gap metric 58:33 - The longstanding friendship and collaboration with M. Smith 01:11:30 - On causality and the arrow of time Links Tryphon’s website: https://georgiou.eng.uci.edu/ People in control interview: https://tinyurl.com/4nw5s9p6 R. Kalman: https://tinyurl.com/mux93t32 A. Tannenbaum: https://tinyurl.com/2pws6rzd Moment problem - https://tinyurl.com/3u38xy9f Nevanlinna–Pick interpolation - https://tinyurl.com/3nw56kj Ph.D. Thesis: https://tinyurl.com/3c5ba8fr On the computation of the gap metric: https://tinyurl.com/tamnufma Uncertainty in Unstable Systems: The Gap Metric - https://tinyurl.com/4w7sn73n Vidyasagar’s paper on the graph metric - https://tinyurl.com/5xn3rks6 Optimal robustness in the gap metric - https://tinyurl.com/7axewjpy M. Smith - https://tinyurl.com/3ym2fbp9 M. Vidyasagar - https://tinyurl.com/4fnwtjv7 K. Glover - https://tinyurl.com/45zwpva9 C. Foias - https://tinyurl.com/wxt378tj Commutant lifting theorem - https://tinyurl.com/bdfzxnf2 D. Sarason - https://tinyurl.com/5n6n568f Robust Stability of Feedback Systems: A Geometric Approach Using the Gap Metric - https://tinyurl.com/bbv2hmy8 Intrinsic difficulties in using the doubly-infinite time axis for input-output control theory - https://tinyurl.com/3cdbc9n2 Erdős number - https://tinyurl.com/bdex5pf6 Causal system - https://tinyurl.com/ythze2h7 Feedback control and the arrow of time - https://tinyur Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 00:58 - Magic 02:58 - Visual SLAM and autonomous driving 05:32 - Flying without a GPS 11:01 - sFly project - Vision-based autonomous flight 18:14 - Next steps 22:30 - Drone racing and agile flying 51:30 - Perception-aware control 58:47 - On robustness 1:02:46 - Risk-aware control and illumination 1:07:52 - Event-based cameras 1:15:37 - Agile flying with event-based cameras 1:19:28 - Event-based control and neuromorphic technology 1:25:42 - Future of robotics 1:30:55 - 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 show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 00:00 - Intro 05:23 - Advice to students 05:45 - Caltech & J. Todd 07:07 - Stanford & G. Forsythe 08:27 - The MathWorks logo 11:50 - ETH Zürich & Stiefel 16:51 - 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 computing 39:54 - The pentium bug 43:58 - SIAM and matrix exponentials 47:19 - Future of mathematics 51:36 - Outro Links Cleve’s corner - https://blogs.mathworks.com/cleve/ Mathworks - https://mathworks.com/ History of Matlab - https://tinyurl.com/3dupkb7w Datatron computer - https://tinyurl.com/4kmcw95r J. Todd - https://tinyurl.com/2s432wzc G. Forsythe - https://tinyurl.com/5583cfwx MathWorks 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/yck38a4y Pentium 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/ycke Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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 - Outro Links Highly optimized tolerances and power laws paper: https://tinyurl.com/3yk2mycp Robust perfect adaptation in bacterial chemotaxis paper: https://tinyurl.com/3fn62a73 SBML: https://sbml.org/ Internet congestion control paper: https://tinyurl.com/4rjcd724 The Structure of Scientific Revolutions: https://tinyurl.com/44n9y23u Wildfires paper: https://tinyurl.com/2dvdh8ap Turbulence paper: https://tinyurl.com/3sbsf8nj Sepsis paper: https://tinyurl.com/55wse56f Distributed LQG with delays paper: https://tinyurl.com/2abjdmb4 Diversity-enabled sweet spots in layered architectures paper: https://tinyurl.com/vvaxvwb8 Mountain biking game: https://tinyurl.com/46yh559r System-level synthesis paper: https://tinyurl.com/2ez64jev Internal feedback in biological control paper: https://tinyurl.com/576zdfrx Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 00:00 - Intro 03:58 - Selected record-breaking athletics feats 09:47 - The Panamanian adventure 13:41 - 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 - Outro Links John’s website: https://doyle.caltech.edu/Main_Page Sport records: https://tinyurl.com/4f7uapjt The Panamanian adventure: https://tinyurl.com/3zf4x5f7 John’s master thesis: https://tinyurl.com/5c4bt5kk Paper - Guaranteed margins for LQG: https://tinyurl.com/3pjdvjmk Paper - Multivariable feedback design: ... https://tinyurl.com/4uv8a6yz John’s PhD Thesis: https://tinyurl.com/27mew2ku Paper - Feedback and optimal sensitivity: ... : https://tinyurl.com/2p8a5vbh Paper - Performance and robustness analysis for structured uncertainty: https://tinyurl.com/mr78ajwx Paper - State-space solutions to standard H2 and H∞ control problems: https://tinyurl.com/4ru2ssc9 Witsenhausen’s counterexample: https://tinyurl.com/3cavzz9y Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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! Outline 00:00 - Intro 00:50 - Cybergenetics 02:22 - Genetics 101 05:07- Where control meets biology 06:49 - Mustafa's early steps in biology: why do dairy cows get milk fever? 12:05 - Systems and synthetic biology 14:34 - History of synthetic biology 17:16 - On biological computing 23:23 - On biomolecular control 29:27 - The birth of the Antithetic motif for molecular feedback control 39:25 - Enabling technologies 48:28 - How the antithetic motif works 57:20 - Model organisms 01:00:45 - Applications of Cybergenetics 01:06:45 - Ethical dilemmas in Cybergenetics 01:10:57 - On the internal model principle 01:16:01 - Advice to future students 01:19:51 - Outro Links - 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/3a2bm35f Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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 - Outro Episode 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/52v9fu83 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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 - Outro Episode 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 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 02:15 - 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 - Outro Episode links Anu's lab: http://aaclab.mit.edu/ NCCR Symposium: https://tinyurl.com/bdz84p4c Book - Stable adaptive systems: https://tinyurl.com/mw4saame X-15 Flight 3-65-97: https://tinyurl.com/2kbe7nsy Paper - Adaptive Control and the NASA X-15-3 Flight Revisited: https://tinyurl.com/2p83k7ez Paper - A historical perspective of adaptive control and learning: https://tinyurl.com/yck89rcd Paper -Adaptive Control and Intersections with Reinforcement Learning: https://tinyurl.com/yc27rsyd KYP 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/appnjzyn MRAC: https://tinyurl.com/bdzzphju Self Tuning Control: https://tinyurl.com/3mjs3skm Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 00:00 - Intro 00:50 - Jean-Jacques' early life 06:17 - Why control? 09:45 - Sliding control and adaptive nonlinear control 18:47 - Neural networks 23:15 - First ventures in neuroscience 28:27 - Contraction theory and applications 48:26 - Synchronization 51:10 - Complex networks 57:59 - Optimization and machine learning 1:08:17 - Advice to future students and outro Episode links NCCR Symposium: https://tinyurl.com/bdz84p4c Sliding mode control: https://tinyurl.com/2s45ra4m Applied nonlinear control: https://tinyurl.com/4wmbt4bw On the Adaptive Control of Robot Manipulators: https://tinyurl.com/b7jcpkzw Gaussian Networks for Direct Adaptive Control: https://tinyurl.com/22zb7pkx The intermediate cerebellum may function as a wave-variable processor: https://tinyurl.com/2c34ytep On contraction analysis for nonlinear systems: https://tinyurl.com/5cw4z9j8 Kalman conjecture: https://tinyurl.com/2pfjsbke I. Prigogine: https://tinyurl.com/5ct8yssb RNNs of RNNs: https://tinyurl.com/3mpt7fec How Synchronization Protects from Noise: https://tinyurl.com/2p82erwp Controllability of complex networks: https://tinyurl.com/24w7hdae B. Anderson: https://tinyurl.com/e9pkyxdx Online lectures on nonlinear control: https://tinyurl.com/525cnru4 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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”. Outline 00:00 - Intro 02:06 - The early years of Norbert 09:00 - Europe and WWI 15:50 - MIT days 19:30 - Norbert’s marriage 22:39 - Generalised harmonic analysis 28:18 - The interactions with Hopf and Paley 31:14 - Bush and the analog computer program 35:55 - WWII, Bigelow and prediction theory 40:41 - Rosenbleuth and teleological machines 47:56 - Mexico and Norbert’s biological investigations 51:25 - Cybernetics 1:00:16 - The human behind Norbert Wiener 1:01:53 - Outro Episode links Things named after Wiener: https://tinyurl.com/mt37xn93 Autobiography: https://tinyurl.com/2umws9nd Biography: https://tinyurl.com/nhawc9az Wiener filter: https://tinyurl.com/n9u5ukxe Paley-Wiener theorem: https://tinyurl.com/mr3z3f89 Wiener-Kinchin theorem: https://tinyurl.com/3mxm54ac Vannevar Bush: https://tinyurl.com/y6s7kz6t Julian Bigelow: https://tinyurl.com/28m4a6as Behavior, Purpose and Teleology: https://tinyurl.com/3ut2afjz Arturo Rosenblueth: https://tinyurl.com/57wp67vh Cybernetics: https://tinyurl.com/5e3tnn6e Out of control: https://tinyurl.com/3rnhn3xh A scientist rebels: https://tinyurl.com/5f2d3urc Moral and technical consequences of automation: https://tinyurl.com/72tvzuxy Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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. Outline 00:00 - Intro 00:22 - Sean’s early steps 03:53 - Markov chains 08:45 - Networks 18:26 - Stochastic approximation 25:00 - Reinforcement Learning 38:57 - The intersection of Reinforcement Learning and Control 42:37 - Favourite theorem 44:05 - Beekeeping and jazz 48:47 - Outro Episode links Sean’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/qsv35 Fluid model: shorturl.at/HKN56 M/M/1 queue: shorturl.at/dQW36 Borkar-Meyn theorem: shorturl.at/eSTV4 NCCR Automation Symposia: shorturl.at/csv03 (see also shorturl.at/ekpZ3) V. Konda’s PhD Thesis: shorturl.at/bdrv7 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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 Outline 00:00 - Intro 01:51 - Research trajectory 03:52 - Influential figures 08:20 - System identification 17:07 - Regularized system identification 23:30 - Vision 28:40 - Data-driven methods 30:32 - Future of system identification 33:40 - Question from the audience 34:19 - Advice to future students 35:50 - Skiing at a semi-professional level Episode links Giorgio 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_identification Regularized system identification: https://tinyurl.com/yc7b7myt Origin of “regularization”: https://tinyurl.com/y4jmk75f Hirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_Akaike Structure from motion: https://tinyurl.com/35canfnx Dynamic textures: https://tinyurl.com/28bdwhwm Skiing: https://tinyurl.com/2p8xzau6 Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

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/ Outline 00:00 - Intro 01:01 - Ben predicts the birth of "inControl" 02:40 - Personal research trajectory 06:55 - How and why did you dive into control theory? 08:43 - Influential figures who shaped Ben's research 13:50 - The "argmin" blog & myth busting 27:43 - Ben's tour of reinforcement learning 45:18 - Future challenges for control 52:06 - Biological origin of learning 58:24 - "This or that" game 1:02:54 - Questions from the audience 1:14:51 - What would you do if you were a student today? 1:17:00 - Ben's band: "the fun years" Episode links Ben'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/1806.09460 Patterns, 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_conjecture Support the show Podcast info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://tinyurl.com/5n84j85j Spotify: https://tinyurl.com/4rwztj3c RSS: https://tinyurl.com/yc2fcv4y Youtube: https://tinyurl.com/bdbvhsj6 Facebook: https://tinyurl.com/3z24yr43 Twitter: https://twitter.com/IncontrolP Instagram: https://tinyurl.com/35cu4kr4 Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.