Episodes

  • ep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, Neuromorphics

    ep22 - Alberto Sangiovanni Vincentelli, Part II: Cyberphysical and hybrid systems, Contracts, Chiplets, Models of computation, Time, Innovative Ecosystems, BioBricks, Neuromorphics

    · 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.

  • ep21 - Alberto Sangiovanni Vincentelli: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based design

    ep21 - Alberto Sangiovanni Vincentelli: Classics, EDA, Logic Synthesis, SPICE, Intel x386, Cadence, Synopsis, Platform-based design

    · inControl

    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.

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  • ep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot Interaction

    ep20 - Aude Billard: From Robot learning to Dexterous Manipulation and Human-Robot Interaction

    · inControl

    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.

  • ep19 - Naomi Ehrich Leonard, Part II: Unveiling the Dynamics of Collective Decision-Making from Flocking Starlings to Desert Ants, Political Polarization, and the Creative Dance Between Arts and Control Theory

    ep19 - Naomi Ehrich Leonard, Part II: Unveiling the Dynamics of Collective Decision-Making from Flocking Starlings to Desert Ants, Political Polarization, and the Creative Dance Between Arts and Control Theory

    · inControl

    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.

  • ep18 - Naomi Ehrich Leonard, Part I: Geometric Control on Lie Groups, Underwater Vehicles and Collective Motion, Coordination in Animal Groups, Decision Making in Honeybees and Bifurcation Theory

    ep18 - Naomi Ehrich Leonard, Part I: Geometric Control on Lie Groups, Underwater Vehicles and Collective Motion, Coordination in Animal Groups, Decision Making in Honeybees and Bifurcation Theory

    · inControl

    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.

  • ep17 - Tryphon Georgiou, Part II: Power spectra, optimal mass transport, Wasserstein geometry, turbulence, thermodynamics, quantum mechanics, adjustable one-ports

    ep17 - Tryphon Georgiou, Part II: Power spectra, optimal mass transport, Wasserstein geometry, turbulence, thermodynamics, quantum mechanics, adjustable one-ports

    · inControl

    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.

  • ep16 - Tryphon Georgiou, Part I: Marathons, Interpolation problems, Metrics, and the Arrow of Time

    ep16 - Tryphon Georgiou, Part I: Marathons, Interpolation problems, Metrics, and the Arrow of Time

    · inControl

    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
    ErdƑs 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.

  • ep15 - Davide Scaramuzza: Vision-Based Navigation, Agile Drone Racing, Perception-Aware Control, and Event Cameras

    ep15 - Davide Scaramuzza: Vision-Based Navigation, Agile Drone Racing, Perception-Aware Control, and Event Cameras

    · inControl

    In this episode, we dive into the world of flying robots with Davide Scaramuzza (University of ZĂŒrich), 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.

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

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

    · inControl

    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 ZĂŒrich & 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.

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

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

    · inControl

    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.

  • ep12 - John Doyle, Part I: A Pioneer's Guide to Robust Control - The Past, Present, and Future

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

    · inControl

    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.

  • ep11 - Mustafa Khammash: Cybergenetics

    ep11 - Mustafa Khammash: Cybergenetics

    · inControl

    In this episode, our guest is Mustafa Khammash. Mustafa is the director of the Control Theory and Systems Biology Lab at ETH ZĂŒrich 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.

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

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

    · inControl

    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.

  • ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds

    ep9 - Rodolphe Sepulchre: Spiking control systems, nonlinear control, neuroscience and optimization on manifolds

    · inControl

    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.

  • ep8 - Anuradha Annaswamy: Adaptive Control - From the

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

    · inControl

    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.

  • ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning

    ep7 - Jean-Jacques Slotine: Sliding, nonlinear and adaptive control, contraction theory, complex networks, optimization, and machine learning

    · inControl

    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.

  • ep6 - Norbert Wiener and Cybernetics

    ep6 - Norbert Wiener and Cybernetics

    · inControl

    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.

  • ep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz

    ep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz

    · inControl

    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.

  • ep4 - Alessandro Chiuso: From system identification to computer vision and back

    ep4 - Alessandro Chiuso: From system identification to computer vision and back

    · inControl

    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.

  • ep3 - Ben Recht: A tour of optimization, machine learning, and control

    ep3 - Ben Recht: A tour of optimization, machine learning, and control

    · inControl

    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.

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