The first podcast on control theory. inControl shop: https://incontrolpodcast.myshopify.com/
The podcast inControl is created by Alberto Padoan. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
Outline
00:00 Intro
01:19 Swedish control heritage and early steps
05:21 PhD at Lund and relay feedback systems
15:40 Berkeley years
19:58 Hybrid systems
26:46 Networked control systems
30:32 Interaction with industry
34:40 Wireless control systems
40:33 Platooning in freight transport
49:27 Future of mobility
52:55 Event-based control
58:58 Cybersecurity
1:05:10 Societal-scale challenges
1:12:33 Bode lecture reflections
1:15:05 Digital futures
1:23:38 Advice for future students
Links
Kalle’s website: https://tinyurl.com/yc34dv2x
K. J. Åstrom: https://tinyurl.com/5n9admvk
PhD Thesis: https://tinyurl.com/3868a92a
Relay feedback: https://tinyurl.com/3w4w9dku
Fast switches in relay feedback systems: https://tinyurl.com/5dcvn79f
S. Sastry: https://tinyurl.com/3f5e978z
Hybrid system: https://tinyurl.com/v39up6wk
Dynamical properties of hybrid automata: https://tinyurl.com/yx73x6ba
Wireless Network Design for Control Systems: https://tinyurl.com/mry5cnan
Cyber–Physical Control of Road Freight Transport: https://tinyurl.com/yc4yhhwu
S. Shladover: https://tinyurl.com/352cfwdm
An introduction to event-triggered and self-triggered control: https://tinyurl.com/37p9w8cz
Distributed Event-Triggered Control for Multi-Agent Systems: https://tinyurl.com/5ddnjsrz
Cyber security analysis of state estimators in electric power systems: https://tinyurl.com/2wj74spj
A secure control framework for resource-limited adversaries: https://tinyurl.com/37pnehuv
Control for societal-scale challenges 2030: https://tinyurl.com/yfd3v296
Digital futures: https://tinyurl.com/h3nyb2
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
02:14 - Early steps in control
05:36 - L1 control
17:09 - Relay feedback systems
24:32 - Agile robotic maneuvers
29:31 - Abstractions and models
41:59 - Causality
49:35 - Markets and power grids
1:00:20 - Role of network structure
1:05:03 - Data, systems, and society
1:16:17 - On writing
1:22:57 - Cascaded failures in networks
1:30:40 - Information design
1:34:29 - Data markets
1:42:27 - On economics and engineering
1:48:18 - Systems thinking for societal problems
1:58:24 - Advice to future students
Links
Website: https://dahleh.lids.mit.edu/
Data Nation podcast: https://tinyurl.com/2fxwxw2d
S. Bhattacharyya: https://tinyurl.com/4z93f6n7
Wonham’s geometric control: https://tinyurl.com/mrxxkrv9
B. Pearson: https://tinyurl.com/3vaz9yc9
L1-optimal control: https://t.ly/NuXp8
M. Vidyasagar: https://tinyurl.com/4z3zamh6
Relay feedback systems: https://tinyurl.com/47tr23a4
J. Tsitsilkis: https://tinyurl.com/yc7jmzm6
Maneuver-based motion planning: https://tinyurl.com/bdduu2ea
Nutonomy: https://tinyurl.com/426s7stv
Feedback control with noisy channels: https://tinyurl.com/2yschy2s
Bode’s integral: https://tinyurl.com/2s47rjmp
Fundamental limits and molecular fluctuations: https://tinyurl.com/5n8k4maa
Volatility of power grids: https://tinyurl.com/2vfpjfy7
Bayesian learning in social networks: https://tinyurl.com/3mk9p486
D. Acemoglu: https://tinyurl.com/3nphek9h
A. Ozdaglar: https://tinyurl.com/yvdnddh9
Cascade failures in networks: https://tinyurl.com/u2ckx94v
A marketplace for data: https://tinyurl.com/esvbtprb
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
00:49 - Early education and PhD in control
10:35 - Non-negative linear algebra & modelling uncertainty principle
22:50 - Influence of Willems & the Frisch scheme
34:27 - Subspace identification & stochastic behavioural system theory
38:39 - Stanford experience with Golub & Kailath
53:30 - Return to Leuven: LS-SVMs, quantum information, and beyond
1:07:48 - Multilinear algebra and tensor trains
1:11:59 - Exact/approximate modelling and angles between systems
1:25:34 - Back to the roots
1:46:01 - On entrepreneurship: advice to future students
1:56:32 - Outro
Links
Bart’s website: https://www.bartdemoor.be/
Bart’s PhD Thesis: https://tinyurl.com/ryfu786h
J. Willems: https://tinyurl.com/26zcrkc6
From finite time series to linear system: https://tinyurl.com/4cvzpun6
Subspace Identification For Linear Systems: https://tinyurl.com/5n8u228k
Grassmann’s identity: https://tinyurl.com/37ey48da
L. Ljung: https://tinyurl.com/2p9k74cm
G. Golub: https://tinyurl.com/rteww7rb
The restricted singular value decomposition: https://tinyurl.com/3pzhw8p4
LS-SVMs: https://tinyurl.com/ykv7uvfv
Four qubits can be entangled in nine different ways: https://tinyurl.com/y367kkcp
High-order SVD: https://tinyurl.com/34u4p7h9
Subspace angles between ARMA models: https://tinyurl.com/29cta3rm
Exact and approximate modeling of linear systems: https://tinyurl.com/ykkbb9k4
Back to the roots: https://tinyurl.com/ym6bvs38
Resultant: https://tinyurl.com/32un7tbv
Multidimensional system: https://tinyurl.com/jswpsr2s
Macaulay resultant: https://tinyurl.com/y4skuevw
Least squares realization of LTI models is an eigenvalue problem: https://tinyurl.com/3x9dmjnk
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
01:16 - Intro
02:28 - Early steps in Italy and California
13:00 - From Riemannian geometry …
17:01 - … to geometric control, robotics and locomotion
34:54 - Academic environment at Caltech
35:06 - From single robots to robotic networks
53:51 - Art gallery problem
1:01:37 - Networked and cyber-physical systems
1:21:47 - Contracting dynamics
1:33:07 - Coupled oscillators and power grids
1:47:20 - On mathematical sociology
1:56:44 - Writing and publishing
2:02:14 - About professional service
2:08:04 - Advice for future students
2:08:04 - Outro
Links
Francesco’s website: https://fbullo.github.io/
CSM “People in Control” interview: https://tinyurl.com/cw4s8b4n
Geometric Control of Mechanical Systems: https://tinyurl.com/mt59bw2n
PD control on the Euclidean group: https://tinyurl.com/5xe9rtc2
Coverage control for mobile sensing networks: https://tinyurl.com/ye83duhm
Voronoi tassellations: https://tinyurl.com/y7w2tux4
Art gallery problem: https://tinyurl.com/yc8h88c3
Dynamic vehicle routing for robotic systems: https://tinyurl.com/5n8c393p
Distributed control of robotic networks: https://tinyurl.com/5xe6ztw3
Attack detection and identification in cyber-physical systems: https://tinyurl.com/mvm44d24
Voltage collapse in complex power grids: https://tinyurl.com/55mfdj28
Lectures on network systems: https://tinyurl.com/tbd9dhy2
Opinion dynamics and the evolution of social power in influence networks: https://tinyurl.com/2cd5v7ta
Banach contraction theorem: https://tinyurl.com/2yv4jjy6
Contraction theory for dynamical systems: https://tinyurl.com/2r2pxh9p
Contracting dynamics YouTube series: https://tinyurl.com/3p7nsryp
Getting it write: https://tinyurl.com/yhtabw2f
Hamming - You and your research:
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
01:00 - From Boeing to Planetary Resources
08:57 - The origin of control videos
17:07 - About teaching style
20:52 - The (unnecessary?) math behind controls
26:54 - On interdisciplinarity
31:35 - How to build knowledge fast
48:32 - Resourcium
01:00:49 - The map of control theory
01:11:09 - IFAC Cartoons
01:15:35 - Fundamentals of control theory book
01:24:49 - The role of projects
01:34:27 - Future of control education
01:43:43 - Advice to future students
Links
Brian’s website: https://tinyurl.com/DouglasBrian1
Boeing: https://tinyurl.com/DouglasBrian2
Planetary resources: https://tinyurl.com/DouglasBrian3
Khan Academy: https://tinyurl.com/DouglasBrian4
Building Knowledge in an Interdisciplinary World: https://tinyurl.com/DouglasBrian5
Why Models Are Essential to Digital Engineering: https://tinyurl.com/DouglasBrian6
SysML: https://tinyurl.com/DouglasBrian7
What Is Robust Control: https://tinyurl.com/DouglasBrian8
Algebraic Riccati equation: https://tinyurl.com/DouglasBrian9
Resourcium: https://tinyurl.com/DouglasBrian10
Map of control theory: https://tinyurl.com/DouglasBrian11
Map of mathematics: https://tinyurl.com/DouglasBrian12
Brian’s Cartoons: https://tinyurl.com/DouglasBrian13
Fundamentals of control theory: https://engineeringmedia.com/books
xkcd: https://xkcd.com/
what if?: https://xkcd.com/what-if/
Computational Control: https://www.bsaver.io/teaching
argmin: https://www.argmin.net/
The Art of the Realizable:
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
01:17 - Early Years
04:17 - The “Scenic Route” to Control Theory
12:44 - Sampled Data Systems
22:26 - Linear Parameter Varying (LPV) Identification
28:07 - From Distributed Systems and PDEs ...
38:59 - ... to Distributed Control of Spatially Invariant Systems
49:02 - Taming the Navier-Stokes Equations
50:55 - Advice to Future Students
1:13:12 - Coherence in Large Scale Systems
1:32:28 - On Resistive Losses in Power Systems
1:39:00 - Cochlear Instabilities
1:50:40 - Stochasticity in Feedback Loops
2:00:00 - About Linear and Nonlinear Control
2:08:14 - How to Select a Research Problem
2:14:21 - Future of Control
2:22:06 - Outro
Links
- Paper on moment-invariants and object recognition: https://tinyurl.com/26tnks3z
- Bassam’s PhD Thesis: https://tinyurl.com/3n2274dv
- Identification of linear parametrically varying systems: https://tinyurl.com/mryebhhy
- Distributed control of spatially invariant systems: https://tinyurl.com/rzszjch2
- Shift Operator: https://tinyurl.com/24fwehet
- Heat Equation: https://tinyurl.com/57rc6s7h
- Navier-Stokes Equations: https://tinyurl.com/45ktrd2e
- The impulse response of the Navier-Stokes equations: https://tinyurl.com/4vaausfn
- Non-Normal Matrix: https://tinyurl.com/58z4sph8
- Coherence in large-scale networks: https://tinyurl.com/ynm5cbay
- The Price of Synchrony: https://tinyurl.com/3svzancw
- Tinnitus: https://tinyurl.com/yc5hm549
- Cochlear Instabilities: https://tinyurl.com/fjespjbj
- Stochasticity in Feedback Loops: https://tinyurl.com/yc6aw9xt
- Koopman Operator: https://tinyurl.com/3jeu68p8
- Carleman Linearization: https://tinyurl.com/yckzrnfh
- Mamba Model: https://tinyurl.com/33h59jwj
- Spectral Factorization: https://t
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
01:28 - 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
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
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
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://
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
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
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
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:
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
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
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
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
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
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
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
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
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
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
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
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.
This episode breaks the ice with a bit of the pre-history of control theory. We discuss three iconic ancestors of the science of feedback, including water clocks developed by Ktesibios, the earliest known thermostat, and governors, a class of mechanical devices, which, without exaggeration, have enabled the first industrial Revolution in Britain.
Outline
00:00 -Intro
01:32 - Ktesibios
06:15 - Cornelis Drebble
11:55 - Governors
Episode links
Ktesibios
Drebble
Governors
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.
This episode features an interview with Florian Dörfler, who is an Associate Professor at the Automatic Control Laboratory at ETH Zürich, Switzerland. We discuss several topics, including his personal research trajectory, the influence of machine learning on control, future challenges in control theory, among others. Check out Florian's website here: http://people.ee.ethz.ch/~floriand/
Outline
00:00 - Intro
01:03 - Personal research trajectory
05:57 - Influence of machine learning on control
07:52 - Why doing research in control?
09:51 - What would you change in control?
11:36 - Where is the field heading?
14:20 - Favourite theorem in control theory
16:20 - Vision: what would you like to achieve?
17:03 - Influential figures
19:17 - Sociology and control
21:23 - What would you do if you were a student today?
Episode links
Florian's website: http://people.ee.ethz.ch/~floriand/
Gerschgorin theorem: https://en.wikipedia.org/wiki/Gershgorin_circle_theorem
Synchronization paper: https://www.pnas.org/doi/abs/10.1073/pnas.1212134110
Hamming - "A stroke of genius": https://www.mccurley.org/advice/hamming_advice.html
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
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.
En liten tjänst av I'm With Friends. Finns även på engelska.