inControl

Alberto Padoan

The first podcast on control theory. inControl shop: https://incontrolpodcast.myshopify.com/

  1. 10月16日

    ep37 - A. M. Lyapunov: The General Problem of Stability of Motion

    Outline 00:00 - Intro 03:12 - Early life 09:07 - St. Petersburg: Stability of Ellipsoidal Bodies 20:13 - Kharkov: The General Problem of the Stability of Motion 34:37 - Back to St. Petersburg: Probability & Academy 46:22 - Tragic end 49:50 - Posthumous recognition  57:49 - Legacy 1:20:39 - Outro Links A. M. Lyapunov: https://tinyurl.com/3kjuhfns S. Lyapunov: https://tinyurl.com/mury7p3s Smirnov's bio: https://tinyurl.com/6wpffh3z Bissell's essay: https://tinyurl.com/3ds3hubj Sechenov: https://tinyurl.com/ypsr37vc Krylov: https://tinyurl.com/44wez8w5 Krylov subspace: https://tinyurl.com/bw527uh2 Chebyshev: https://tinyurl.com/2n35usfr The General Problem of Stability of Motion: https://tinyurl.com/mv2jchv2 Lyapunov stability: https://tinyurl.com/bb59vcuf Central limit theorem: https://tinyurl.com/3r36p458 Van der Pol oscillator: https://tinyurl.com/3s68yyhr Massera’s theorem: https://tinyurl.com/2zjmtvjw LaSalle’s invariance principle: https://tinyurl.com/pjnrp3fh Krasovskii: https://tinyurl.com/junbujsw Popov criterion: https://tinyurl.com/uyt3kx5b Control Lyapunov function: https://tinyurl.com/3v7bnusj Artstein–Sontag formula: https://tinyurl.com/3fdebmm3 Input-to-state stability: https://tinyurl.com/3nca9nj6 Lyapunov equation: https://tinyurl.com/mvakw3yw Hybrid systems: https://tinyurl.com/v39up6wk Control barrier function: https://tinyurl.com/sy4p5jj Dominance theory: https://tinyurl.com/msvnd4dv 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.

    1 小时 25 分钟

  2. 9月15日

    ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice

    Outline 00:00 – Intro 00:51 – Early steps in research 09:55 – Historical overview of traffic control 25:20 – What is traffic? 34:06 – Road traffic control 45:37 – PI control of road junctions 58:19 – From macroscopic to microscopic simulations and back 1:10:08 – Dynamic traffic assignment 1:21:28 – Return to Greece 1:28:33 – The optimal control problem 1:41:48 – Traffic estimation 1:47:34 – The impact of automation and connectivity 1:59:20 – Traffic as an artificial fluid 2:07:51 – The future of traffic control 2:10:48 – Advice to future students 2:13:53 – Outro Link Homepage: https://tinyurl.com/yw7kee97 CSS day lecture: https://tinyurl.com/46vua4r7 Monograph - Applications of Automatic Control Concepts to Traffic Flow Modeling and Control: https://tinyurl.com/5czax788 Review of road traffic control strategies: https://tinyurl.com/48u235pw ALINEA: https://tinyurl.com/bdtvny87 METANET: https://tinyurl.com/3h9xv48t AIMSUM:https://tinyurl.com/mr2xkryj AMOC: https://tinyurl.com/3v2xysr2 HERO: https://tinyurl.com/yzn6vkwh Real-time freeway traffic state estimation based on extended Kalman filter: a general approach: https://tinyurl.com/2ubsh7cy TRAMAN: https://tinyurl.com/ypr65cfa Coordinated and integrated control of motorway networks via non-linear optimal control: https://tinyurl.com/3v2xysr2 Motorway traffic flow modelling, estimation and control with vehicle automation and communication systems: https://tinyurl.com/49679hy8 From road congestion to vehicle-control enabled artificial traffic fluids: https://tinyurl.com/pk4j8htp 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.

    2 小时 14 分钟

  3. 8月15日

    ep35 - Cosimo Della Santina: From Dexterous Manipulation to Soft Robotics and Embodied Intelligence

    Outline 00:00 – Intro 01:19 – Early steps: PhD journey & robotic hands 15:42 – What is a soft robot? 23:35 – MIT years & models of soft robots 30:01 – Discretization & underactuation 37:21 – The regulation problem 47:01 – Pros and cons of soft robots 51:42 – The soft inverted pendulum 1:05:27 – Eigenmanifolds 1:15:22 – Physical intelligence 1:26:09 – On machine learning 1:37:49 – Embodied AI & TC on Robot Control 1:44:50 – Advice to future students Links - Cosimo’s website: https://tinyurl.com/mt37597k - Piaggio Center: https://tinyurl.com/muryjw5h - Pisa Robotic Hand: https://tinyurl.com/4ujtec59 - Model-Based Dynamic Controller for a Planar Soft Robot: https://tinyurl.com/5a8fv3c8 - Soft Robot definition (Encyclopaedia of Robotics): https://tinyurl.com/3y2jz987 - Isidori’s book: https://tinyurl.com/42254hav - CSM magazine paper: https://tinyurl.com/bd54an6x - Cosserat rod theory: https://tinyurl.com/zu73nadx - Strain function: https://tinyurl.com/y8v63ue2 - Zero dynamics: https://tinyurl.com/2ezarn5e - The soft inverted pendulum: https://tinyurl.com/y4bzkkup - Templates and anchors: https://tinyurl.com/2957w6sz - Exciting Efficient Oscillations Through Eigenmanifold Stabilisation: https://tinyurl.com/yc3586y5 - When Do Lyapunov Subcentre Manifolds Become Eigenmanifolds?: https://tinyurl.com/5tckw7xe - Passive walker: https://tinyurl.com/yjwwapv5 - Strandbeests: https://tinyurl.com/494mfccu - Physical control: https://tinyurl.com/bdddb6ur - Morphological computation: https://tinyurl.com/an6vaahx - The Playful Machine: https://tinyurl.com/5525xys2 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.

    1 小时 47 分钟

  4. 7月17日

    ep34 - inControl guide to ... Controllability & Observability

    Outline 00:00 - Intro 01:06 - The big idea 03:42 - Controllability, observability, and  ... the space race! 14:52 - Kálmán and the state-space paradigm 00:00 - The math and intuition: state-space basics, definitions, and duality 00:00 - A touch of nonlinearity 00:00 - Developments in the field: a chronological tour 00:00 - Controllability and observability: quo vaditis? 00:00 - Outro Links Kálmán: https://tinyurl.com/bdzj7mtr Controllability: https://tinyurl.com/28s5zxpn Observability: https://tinyurl.com/yjxncxdn Paper - "Contributions to the theory of optimal control": https://tinyurl.com/9wwf8pvh Paper - "Discovery and Invention": https://tinyurl.com/ryfn463n Kálmán's speech -  Kyoto Prize : https://tinyurl.com/2ahrjdah Paper - Controllability of complex networks: https://tinyurl.com/3zk99n4s 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.

    59 分钟

  5. 6月16日

    ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization

    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 Hilbert: https://tinyurl.com/ykpdh929 Feedback Systems: https://tinyurl.com/2k3jsdat How to Write Mathematics: https://tinyurl.com/35794bv9 Nonlinear systems: https://tinyurl.com/2fdtnjcm C. Desoer: https://tinyurl.com/svhknren Control Systems Synthesis — A Factorization Approach: https://tinyurl.com/59wdc4sv Aryabhata: https://tinyurl.com/43x6hfhp A Brief History of the Graph Topology: https://tinyurl.com/49uftzdk Robot Dynamics and Control: https://tinyurl.com/5b4cmt7m CAIR: https://tinyurl.com/rajdtxax Randomized algorithms for robust controller synthesis using statistical learning theory: https://tinyurl.com/wanpyeuc R. Tempo: https://tinyurl.com/jkufdwar VC dimension: https://tinyurl.com/mvwk8afm Learning and Generalisation: https://tinyurl.com/2s3mzh8h Are Analog Neural Networks Better Than Binary Neural Networks? https://tinyurl.com/3fnk27xc Hidden Markov Processes: https://tinyurl.com/t5frrvfz An Introduction to Compressed Sensing: https://tinyurl.com/fc6a8eer 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.

    1 小时 18 分钟

  6. 5月16日

    ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control

    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 Kharitonov's theorem: https://tinyurl.com/3w3a3z52 IMA: https://cse.umn.edu/ima LCCC: http://www.lccc.lth.se/ Real stability radius paper: https://tinyurl.com/yc79zt58 IQC paper: https://tinyurl.com/mw2te4vw KYP lemma paper: https://tinyurl.com/2fv32yw6 Piecewise quadratic Lyapunov functions for hybrid systems: https://tinyurl.com/38a5f432 Piecewise linear quadratic optimal control: https://tinyurl.com/yhddbhpx Fast switches in relay feedback systems: https://tinyurl.com/23e95k9n Dual to Lyapunov's stability theorem: https://tinyurl.com/yc2uf652 ECC’15 plenary: https://tinyurl.com/sy3k7vf7 Scalable control of positive systems: https://tinyurl.com/3vcda447 Tutorial on Positive Systems and Large Scale Control: https://tinyurl.com/3e4fkxz8 KYP lemma for positive systems: https://tinyurl.com/3pdp3p7p CDC’25 plenary: https://tinyurl.com/497py5wh Data driven Riccati equation: https://tinyurl.com/3swjtvab 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.

    1 小时 30 分钟

  7. 4月15日

    ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control

    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/ Tuning functions paper: https://tinyurl.com/yznv6r9r P. Kokotović: https://tinyurl.com/mwmbm9yh Separation and swapping:  https://tinyurl.com/y4fre6t8 Adaptive nonlinear stabilizers: https://tinyurl.com/4a9wmmvx KKK book: https://tinyurl.com/2kw2b4k6 Stochastic nonlinear stabilization: https://tinyurl.com/4td3537a Follow-up with unknown covariance: https://tinyurl.com/4c4n7fd7 Boundary state feedbacks for PIDEs: https://tinyurl.com/4e9y4tdr Boundary Control of PDEs: https://tinyurl.com/d8x38bmj Stabilization of Navier–Stokes systems: https://tinyurl.com/4a8cbjem Traffic congestion control: https://tinyurl.com/525jphs5 Delay compensation: https://tinyurl.com/5yz6uj9p Nonlinear predictors for long delays: https://tinyurl.com/7wvce6vy Stability of extremum seeking: https://tinyurl.com/mr5cvzd3 Nash equilibrium seeking: https://tinyurl.com/yeywrysn Inverse optimal safety filters: https://tinyurl.com/9dkrpvkk Neural operators for PDE control: https://tinyurl.com/5yynsp7v Bode lecture: https://tinyurl.com/mp92cs9u CSM article: 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.

    2 小时 3 分钟

  8. 2月17日

    ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control

    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 Farewell lecture: https://tinyurl.com/2j5uxsp4 Laying the foundations: an advisor’s perspective: https://tinyurl.com/ym5e4437 Internal model control. A unifying review and some new results:  https://tinyurl.com/vmm7a4tk Internal model control - PID controller design: https://tinyurl.com/rup3azjm Robust process control: https://tinyurl.com/8uhurkub Robust control of ill-conditioned plants: high-purity distillation: https://tinyurl.com/5xfty34c Computational complexity of \mu calculation: https://tinyurl.com/24yvvcc7 Robust constrained model predictive control using linear matrix inequalities: https://tinyurl.com/3pdk55kk Control of systems integrating logic, dynamics, and constraints: https://tinyurl.com/489ekvsn The explicit linear quadratic regulator for constrained systems: https://tinyurl.com/mr2e3z83 Model predictive control: https://tinyurl.com/2s4dafkd Parametric programming: https://tinyurl.com/2u9vj79y Embotech: https://tinyurl.com/3f99ks65 Embedded online optimization for model predictive control at megahertz rates: https://tinyurl.com/59z3vnb9 Donoho’s “Bridge from mathematical to digital and back”: https://tinyurl.com/3f9fk73w 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.

    1 小时 46 分钟
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关于

The first podcast on control theory. inControl shop: https://incontrolpodcast.myshopify.com/

信息

  • 创作者
    Alberto Padoan
  • 活跃年份
    2022年 - 2025年
  • 单集
    37
  • 分级
    儿童不宜
  • 版权
    © 2025 inControl
  • 节目网站
    inControl

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