inControl

Outline 00:00 - Intro 00:42 - “Research should be fun” 02:02 - Early steps in research 09:00 - Book writing and meeting C. Desoer 18:33 - Control synthesis via the factorization approach 25:46 - The graph metric  29:27 - Robotics and CAIR 36:00 - Randomized algorithms 40:41 - On learning 44:05 - Neural networks 48:40 - Tata, hidden Markov models, and large deviations theory 55:48 - Picking problems and role of luck 58:07 - Compressed sensing and non-convex optimization 01:02:17 - Interplay between control and machine learning 01:09:10 - Advice to future students 01:13:29 - Future of control Links Sagar’s website: https://tinyurl.com/4hwruajs [https://tinyurl.com/4hwruajs] Hilbert: https://tinyurl.com/ykpdh929 [https://tinyurl.com/ykpdh929] Feedback Systems: https://tinyurl.com/2k3jsdat [https://tinyurl.com/2k3jsdat] How to Write Mathematics: https://tinyurl.com/35794bv9 [https://tinyurl.com/35794bv9] Nonlinear systems: https://tinyurl.com/2fdtnjcm [https://tinyurl.com/2fdtnjcm] C. Desoer: https://tinyurl.com/svhknren [https://tinyurl.com/svhknren] Control Systems Synthesis — A Factorization Approach: https://tinyurl.com/59wdc4sv [https://tinyurl.com/59wdc4sv] Aryabhata: https://tinyurl.com/43x6hfhp [https://tinyurl.com/43x6hfhp] A Brief History of the Graph Topology: https://tinyurl.com/49uftzdk [https://tinyurl.com/49uftzdk] Robot Dynamics and Control: https://tinyurl.com/5b4cmt7m [https://tinyurl.com/5b4cmt7m] CAIR: https://tinyurl.com/rajdtxax [https://tinyurl.com/rajdtxax] Randomized algorithms for robust controller synthesis using statistical learning theory: https://tinyurl.com/wanpyeuc [https://tinyurl.com/wanpyeuc] R. Tempo: https://tinyurl.com/jkufdwar [https://tinyurl.com/jkufdwar] VC dimension: https://tinyurl.com/mvwk8afm [https://tinyurl.com/mvwk8afm] Learning and Generalisation: https://tinyurl.com/2s3mzh8h [https://tinyurl.com/2s3mzh8h] Are Analog Neural Networks Better Than Binary Neural Networks? https://tinyurl.com/3fnk27xc [https://tinyurl.com/3fnk27xc] Hidden Markov Processes: https://tinyurl.com/t5frrvfz [https://tinyurl.com/t5frrvfz] An Introduction to Compressed Sensing: https://tinyurl.com/fc6a8eer [https://tinyurl.com/fc6a8eer] Support the show [https://www.patreon.com/incontrolpodcast/] Podcast info Podcast website: https://www.incontrolpodcast.com/ [https://www.incontrolpodcast.com/] Apple Podcasts: https://tinyurl.com/5n84j85j [https://tinyurl.com/5n84j85j] Spotify: https://tinyurl.com/4rwztj3c [https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf] RSS: https://tinyurl.com/yc2fcv4y [https://tinyurl.com/yc2fcv4y] Youtube: https://tinyurl.com/bdbvhsj6 [https://tinyurl.com/bdbvhsj6] Facebook: https://tinyurl.com/3z24yr43 [https://tinyurl.com/3z24yr43] Twitter: https://twitter.com/IncontrolP [https://twitter.com/IncontrolP] Instagram: https://tinyurl.com/35cu4kr4 [https://tinyurl.com/35cu4kr4] Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» [https://tinyurl.com/4wywtpyf] and the IFAC Activity fund [https://tinyurl.com/yc7f293d]. 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 and early steps in control 06:42 - Journey to the US 08:30 - Kharitonov's theorem and early influences 12:10 - From Lund to KTH (Stockholm) 15:01 - Ascona and collaboration with Megretski 24:06 - The IMA year in Minnesota 33:50 - Integral quadratic constraints 46:10 - KYP lemma and meeting Yakubovich 52:35 - Piecewise hybrid systems 59:41 - Dual to Lyapunov theorem 1:06:48 -  Positivity and large scale systems 1:15:25 - Adaptive and dual control 1:25:24 - Future research directions Links Master's thesis: https://tinyurl.com/vnkuf44a [https://tinyurl.com/vnkuf44a] Kharitonov's theorem: https://tinyurl.com/3w3a3z52 [https://tinyurl.com/3w3a3z52] IMA: https://cse.umn.edu/ima [https://cse.umn.edu/ima] LCCC: http://www.lccc.lth.se/ [http://www.lccc.lth.se/] Real stability radius paper: https://tinyurl.com/yc79zt58 [https://tinyurl.com/yc79zt58] IQC paper: https://tinyurl.com/mw2te4vw [https://tinyurl.com/mw2te4vw] KYP lemma paper: https://tinyurl.com/2fv32yw6 [https://tinyurl.com/2fv32yw6] Piecewise quadratic Lyapunov functions for hybrid systems: https://tinyurl.com/38a5f432 [https://tinyurl.com/38a5f432] Piecewise linear quadratic optimal control: https://tinyurl.com/yhddbhpx [https://tinyurl.com/yhddbhpx] Fast switches in relay feedback systems: https://tinyurl.com/23e95k9n [https://tinyurl.com/23e95k9n] Dual to Lyapunov's stability theorem: https://tinyurl.com/yc2uf652 [https://tinyurl.com/yc2uf652] ECC’15 plenary: https://tinyurl.com/sy3k7vf7 [https://tinyurl.com/sy3k7vf7] Scalable control of positive systems: https://tinyurl.com/3vcda447 [https://tinyurl.com/3vcda447] Tutorial on Positive Systems and Large Scale Control: https://tinyurl.com/3e4fkxz8 [https://tinyurl.com/3e4fkxz8] KYP lemma for positive systems: https://tinyurl.com/3pdp3p7p [https://tinyurl.com/3pdp3p7p] CDC’25 plenary: https://tinyurl.com/497py5wh [https://tinyurl.com/497py5wh] Data driven Riccati equation: https://tinyurl.com/3swjtvab [https://tinyurl.com/3swjtvab] Support the show [https://www.patreon.com/incontrolpodcast/] Podcast info Podcast website: https://www.incontrolpodcast.com/ [https://www.incontrolpodcast.com/] Apple Podcasts: https://tinyurl.com/5n84j85j [https://tinyurl.com/5n84j85j] Spotify: https://tinyurl.com/4rwztj3c [https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf] RSS: https://tinyurl.com/yc2fcv4y [https://tinyurl.com/yc2fcv4y] Youtube: https://tinyurl.com/bdbvhsj6 [https://tinyurl.com/bdbvhsj6] Facebook: https://tinyurl.com/3z24yr43 [https://tinyurl.com/3z24yr43] Twitter: https://twitter.com/IncontrolP [https://twitter.com/IncontrolP] Instagram: https://tinyurl.com/35cu4kr4 [https://tinyurl.com/35cu4kr4] Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» [https://tinyurl.com/4wywtpyf] and the IFAC Activity fund [https://tinyurl.com/yc7f293d]. 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 01:07 - Early steps 02:47 - Why control? 05:20 - The move to the US 07:40 - The first journal paper 13:30 - What is backstepping? 17:08 - Grad school 25:10 - Stochastic stabilization 29:53 - The interest in PDEs 43:24 - Navier-Stokes equations 52:12 - Hyperbolic PDEs and traffic models 57:51 - Predictors for long delays 1:08:14 - Extremum seeking 1:27:14 - Safe control 1:36:30 - Interplay between machine learning and control 1:42:28 - Back to the roots: robust adaptive control 1:50:50 - On service 1:55:54 - Advice Links Miroslav’s site: https://flyingv.ucsd.edu/ [https://flyingv.ucsd.edu/] Tuning functions paper: https://tinyurl.com/yznv6r9r [https://tinyurl.com/yznv6r9r] P. Kokotović: https://tinyurl.com/mwmbm9yh [https://tinyurl.com/mwmbm9yh] Separation and swapping:  https://tinyurl.com/y4fre6t8 [https://tinyurl.com/y4fre6t8] Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx [https://tinyurl.com/4a9wmmvx] KKK book: https://tinyurl.com/2kw2b4k6 [https://tinyurl.com/2kw2b4k6] Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a [https://tinyurl.com/4td3537a] Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7 [https://tinyurl.com/4c4n7fd7] Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr [https://tinyurl.com/4e9y4tdr] Boundary Control of PDEs: https://tinyurl.com/d8x38bmj [https://tinyurl.com/d8x38bmj] Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem [https://tinyurl.com/4a8cbjem] Traffic congestion control: https://tinyurl.com/525jphs5 [https://tinyurl.com/525jphs5] Delay compensation: https://tinyurl.com/5yz6uj9p [https://tinyurl.com/5yz6uj9p] Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy [https://tinyurl.com/7wvce6vy] Stability of extremum seeking: https://tinyurl.com/mr5cvzd3 [https://tinyurl.com/mr5cvzd3] Nash equilibrium seeking: https://tinyurl.com/yeywrysn [https://tinyurl.com/yeywrysn] Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk [https://tinyurl.com/9dkrpvkk] Neural operators for PDE control: https://tinyurl.com/5yynsp7v [https://tinyurl.com/5yynsp7v] Bode lecture: https://tinyurl.com/mp92cs9u [https://tinyurl.com/mp92cs9u] CSM article: https://tinyurl.com/2av9r253 Support the show [https://www.patreon.com/incontrolpodcast/] Podcast info Podcast website: https://www.incontrolpodcast.com/ [https://www.incontrolpodcast.com/] Apple Podcasts: https://tinyurl.com/5n84j85j [https://tinyurl.com/5n84j85j] Spotify: https://tinyurl.com/4rwztj3c [https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf] RSS: https://tinyurl.com/yc2fcv4y [https://tinyurl.com/yc2fcv4y] Youtube: https://tinyurl.com/bdbvhsj6 [https://tinyurl.com/bdbvhsj6] Facebook: https://tinyurl.com/3z24yr43 [https://tinyurl.com/3z24yr43] Twitter: https://twitter.com/IncontrolP [https://twitter.com/IncontrolP] Instagram: https://tinyurl.com/35cu4kr4 [https://tinyurl.com/35cu4kr4] Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» [https://tinyurl.com/4wywtpyf] and the IFAC Activity fund [https://tinyurl.com/yc7f293d]. 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 03:26 - Development: ETH Zürich 07:15 - Growth: Minnesota and Wisconsin 36:16 - Productivity: Caltech 53:28 - Change: ETH Zürich 01:37:18 - Continuity: University of Pennsylvania 01:45:36 - Outro Links Manfred’s website: https://tinyurl.com/mryp38w3 [https://tinyurl.com/mryp38w3] Farewell lecture: https://tinyurl.com/2j5uxsp4 [https://tinyurl.com/2j5uxsp4] Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437 [https://tinyurl.com/ym5e4437] Internal model control. A unifying review and some new results:  https://tinyurl.com/vmm7a4tk [https://tinyurl.com/vmm7a4tk] Internal model control - PID controller design: https://tinyurl.com/rup3azjm [https://tinyurl.com/rup3azjm] Robust process control: https://tinyurl.com/8uhurkub [https://tinyurl.com/8uhurkub] Robust control of ill-conditioned plants: high-purity distillation: https://tinyurl.com/5xfty34c [https://tinyurl.com/5xfty34c] Computational complexity of \mu calculation: https://tinyurl.com/24yvvcc7 [https://tinyurl.com/24yvvcc7] Robust constrained model predictive control using linear matrix inequalities: https://tinyurl.com/3pdk55kk [https://tinyurl.com/3pdk55kk] Control of systems integrating logic, dynamics, and constraints: https://tinyurl.com/489ekvsn [https://tinyurl.com/489ekvsn] The explicit linear quadratic regulator for constrained systems: https://tinyurl.com/mr2e3z83 [https://tinyurl.com/mr2e3z83] Model predictive control: https://tinyurl.com/2s4dafkd [https://tinyurl.com/2s4dafkd] Parametric programming: https://tinyurl.com/2u9vj79y [https://tinyurl.com/2u9vj79y] Embotech: https://tinyurl.com/3f99ks65 [https://tinyurl.com/3f99ks65] Embedded online optimization for model predictive control at megahertz rates: https://tinyurl.com/59z3vnb9 [https://tinyurl.com/59z3vnb9] Donoho’s “Bridge from mathematical to digital and back”: https://tinyurl.com/3f9fk73w [https://tinyurl.com/3f9fk73w] Support the show [https://www.patreon.com/incontrolpodcast/] Podcast info Podcast website: https://www.incontrolpodcast.com/ [https://www.incontrolpodcast.com/] Apple Podcasts: https://tinyurl.com/5n84j85j [https://tinyurl.com/5n84j85j] Spotify: https://tinyurl.com/4rwztj3c [https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf] RSS: https://tinyurl.com/yc2fcv4y [https://tinyurl.com/yc2fcv4y] Youtube: https://tinyurl.com/bdbvhsj6 [https://tinyurl.com/bdbvhsj6] Facebook: https://tinyurl.com/3z24yr43 [https://tinyurl.com/3z24yr43] Twitter: https://twitter.com/IncontrolP [https://twitter.com/IncontrolP] Instagram: https://tinyurl.com/35cu4kr4 [https://tinyurl.com/35cu4kr4] Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» [https://tinyurl.com/4wywtpyf] and the IFAC Activity fund [https://tinyurl.com/yc7f293d]. 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 02:42 - Early life 10:24 - WWII, Johns Hopkins, Belleville, Madison 17:17 - Princeton 20:30 - Los Alamos 24:12 - Back to Princeton 31:01 - RAND + Stanford 42:10 - Dynamic programming 46:06 - Project matterhorn 51:00 - Back to RAND 56:14 - Curse of dimensionality 1:02:41 - Divorce and remarriage 1:08:29 - Greenglass affair 1:14:21 - USC 1:18:55 - Center for the Study of Democratic Institutions 1:22:55 - Last years 1:26:08 - Outro Links R. Bellman: https://tinyurl.com/ydkmwexy [https://tinyurl.com/ydkmwexy] C. M. Bellman: https://tinyurl.com/yfbafetj [https://tinyurl.com/yfbafetj] Dynamic programming: https://tinyurl.com/mtsuampr [https://tinyurl.com/mtsuampr] Curse of dimensionality: https://tinyurl.com/383yads8 [https://tinyurl.com/383yads8] Hamilton-Jacobi-Bellman equation: https://tinyurl.com/muu4ckvs [https://tinyurl.com/muu4ckvs] Bellman equation: https://tinyurl.com/y8bvzztm [https://tinyurl.com/y8bvzztm] Grönwall-Bellman inequality: https://tinyurl.com/mrwdxzd8 [https://tinyurl.com/mrwdxzd8] S. Lefschetz: https://tinyurl.com/2s39nnzv [https://tinyurl.com/2s39nnzv] RAND corporation: https://tinyurl.com/4bfyhp9p [https://tinyurl.com/4bfyhp9p] Eye of the hurricane: https://tinyurl.com/bd6h84ka [https://tinyurl.com/bd6h84ka] G. Szegő: https://tinyurl.com/mrthmmvm [https://tinyurl.com/mrthmmvm] Project Matterhorn: https://tinyurl.com/5az9c3sh [https://tinyurl.com/5az9c3sh] D. Greenglass: https://tinyurl.com/p2kfp7cz [https://tinyurl.com/p2kfp7cz] Center for the Study of Democratic Institutions: https://tinyurl.com/3vkupdty [https://tinyurl.com/3vkupdty] Support the show [https://www.patreon.com/incontrolpodcast/] Podcast info Podcast website: https://www.incontrolpodcast.com/ [https://www.incontrolpodcast.com/] Apple Podcasts: https://tinyurl.com/5n84j85j [https://tinyurl.com/5n84j85j] Spotify: https://tinyurl.com/4rwztj3c [https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf] RSS: https://tinyurl.com/yc2fcv4y [https://tinyurl.com/yc2fcv4y] Youtube: https://tinyurl.com/bdbvhsj6 [https://tinyurl.com/bdbvhsj6] Facebook: https://tinyurl.com/3z24yr43 [https://tinyurl.com/3z24yr43] Twitter: https://twitter.com/IncontrolP [https://twitter.com/IncontrolP] Instagram: https://tinyurl.com/35cu4kr4 [https://tinyurl.com/35cu4kr4] Acknowledgments and sponsors This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» [https://tinyurl.com/4wywtpyf] and the IFAC Activity fund [https://tinyurl.com/yc7f293d]. 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.