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

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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:

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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:

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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://

Support the Show.

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline
00:00 - Intro
01:28 - Platform-based design (PBD) in biology
16:42 - Cyberphysical systems, automotive industry, hybrid systems
27:32 - Contracts in system design
34:50 - Chiplets
41:48 - About time: the tag signal model
52:15 - Neuromorphics
59:21 - Innovative ecosystems
1:07:35 - Advice to future students
1:16:26 - The role of luck

Links
BiKi Technologies: https://t.ly/RuaW7
R. Murray: https://t.ly/Zy_Up
S. Sastry: https://t.ly/qsf44
C. Tomlin: https://t.ly/tQ0XZ
Platform-based design for energy systems: https://t.ly/RJdpi
State charts: https://tinyurl.com/yw69przw
Contracts for system design: https://tinyurl.com/496e953k
Formal methods: https://tinyurl.com/2yftcwsw
Chiplets: https://tinyurl.com/mrxyswua
A framework for comparing models of computation: https://tinyurl.com/2awyw3cr
Category theory: https://tinyurl.com/3bbfjdv9
E. Frazzoli: https://tinyurl.com/mspckmpd
A. Censi: https://tinyurl.com/5c87wuyx
A mathematical theory of co-design: https://tinyurl.com/ydp6jvp8
Prophesee: https://tinyurl.com/mtf9hpfm
Neuralink: https://tinyurl.com/bdcww89e
Openeye: https://tinyurl.com/3vh6ydmk
Epictetus: https://tinyurl.com/57ef2rud
Seneca: https://tinyurl.com/f7zuyz4d
F. Nietzsche: https://tinyurl.com/bd7znm4n
J. P. Sartre: https://tinyurl.com/3b2zt5cr

Support the Show.

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline
00:00 - Intro
02:40 - Classic Studies
06:51 - Early Steps in Berkeley between Optimization and Circuits Theory
16:04 - Back to Italy... and back to Berkeley
26:29 - The SPICE program and the interaction with IBM
33:30 - Logic Synthesis, Simulated Annealing, Timberwolf
40:57 - The Intel x386, YACR, and ESPRESSO
47:01 - The birth of Cadence and Synopsis
1:06:01 - Corsi e Ricorsi in EDA
1:30:45 - The Shift to Automotive and Platform-Based Design
1:39:06 - Outro

Links
Alberto’s website: https://tinyurl.com/2w8t8fza
State-space approach in problem-solving optimization: https://tinyurl.com/bdcnmbhp
EDA: https://tinyurl.com/3dur7yth
SPICE: https://tinyurl.com/yxm56txy
Logic Minimization Algorithms for VLSI Synthesis: https://tinyurl.com/49bnw3by
Simulated annealing: https://tinyurl.com/mryz45pz
Timberwolf: https://tinyurl.com/mvm28wnn
Intel 386: https://tinyurl.com/4z7ubb55
Cadence: https://tinyurl.com/hydjj92z
Synopsis: https://tinyurl.com/463vk8mk
Dracula: https://tinyurl.com/kcum5v8t
Corsi e ricorsi - the EDA story: https://tinyurl.com/mwar9p44
G. Vico: https://tinyurl.com/cb4mp7nz
Finite state machine: https://tinyurl.com/4ckszk2n
System-level design: orthogonalization of concerns and platform-based design: https://tinyurl.com/v2t4njt4
Quo Vadis, SLD? Reasoning About the Trends and Challenges of System Level Design: https://tinyurl.com/mpmmstun
Remembering Richard: https://tinyurl.com/yc6rf7u3
W. Shockley: https://tinyurl.com/w3chmutt

Support the Show.

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline
00:00 - Intro
00:58 - Early steps… in physics!
05:17 - AI in Edinburgh
08:00 - Connectionism
10:37 - Robot learning
19:02 - Imitation learning
23:00 - On pursuing a PhD
24:45 - Californian chronicles
30:10 - Modularity
33:20 - Challenges in robot learning
39:44 - Dexterous manipulation
43:52 - Dynamical systems
47:37 - Combining ML and control
51:25 - Human-robot interaction
54:24 - Safety and compliance
57:54 - Deadlines for papers
1:06:38 - Advice to future students
1:07:08 - Outro

Links
Aude’s lab: http://tinyurl.com/4nsx2kra
Robot learning: http://tinyurl.com/2ty25t2r
Connectionism: http://tinyurl.com/mrd76zfx
I. Demiris: http://tinyurl.com/nhhn6ymu
Hebbian learning: http://tinyurl.com/35ey7um5
DRAMA (paper): http://tinyurl.com/4fvbs867
Imitation learning: http://tinyurl.com/2af3aew4
Mirror neurons: http://tinyurl.com/4nd3sm75
G. Rizzolatti: http://tinyurl.com/5b4xfab5
Embodied cognition: http://tinyurl.com/5284kp8f
A biologically inspired robotic model for learning by imitation: http://tinyurl.com/4j33nphv
M. Airbib: http://tinyurl.com/3bu3y5dz
Recent Advances in Robot Learning from Demonstration: http://tinyurl.com/487pm3xk
Synthetic brain imaging (paper): http://tinyurl.com/38uerwk7
Catching Objects in Flight (paper): http://tinyurl.com/38d8fk9m
Feasibility not optimality (video): http://tinyurl.com/mwa8b7et
Learning multiple-attractors (paper): http://tinyurl.com/2j3yxwm8
On human compliance (paper): http://tinyurl.com/4vp2kmhw
Deadlines for conferences: http://tinyurl.com/mpwntkty

Support the Show.

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.

Outline
00:00 - Intro
01:33 - Starling Flock Formations
07:17 - Harvesters ants in the desert
16:54 - Decision making in the natural world and opinion dynamics
32:08 - A geometric look at political polarization
36:50 - Control theory and dancing
53:25 - CreativeX
55:25 - On creativity
57:47 - Advice to future students

Links
Andrea Cavagna - http://tinyurl.com/uywn592j
Irene Giardina - http://tinyurl.com/4jmk2h5n
Starling Flock Networks Manage Uncertainty in Consensus at Low Cost: http://tinyurl.com/hc7wz5zp
Regulation of harvester ant foraging: http://tinyurl.com/4s7samff
Fitz-Hugh-Nagumo model: http://tinyurl.com/yer32bhs
Bistability and Resurgent Epidemics in Reinfection Models: http://tinyurl.com/2p98fhpc
SIR model: http://tinyurl.com/mrxdjvyc
Multi-agent system dynamics: Bifurcation and behavior of animal groups: http://tinyurl.com/ycx6ue2z
Fast and Flexible Multiagent Decision-Making: http://tinyurl.com/yd3azrje
A. Franci - http://tinyurl.com/5y5cn9yz
A. Bizyaeva - http://tinyurl.com/3trp7c53
M. Golubitsky - http://tinyurl.com/5ebkdtnc
I. Stewart - http://tinyurl.com/53nws9yz
Multi-agent Decision-Making Dynamics Inspired by Honeybees: http://tinyurl.com/3jxmrkvd
Nonlinear Opinion Dynamics With Tunable Sensitivity: http://tinyurl.com/33mb23tb
The Nonlinear Feedback Dynamics of Asymmetric Political Polarization: http://tinyurl.com/rjdntrbp
Flock logic: http://tinyurl.com/yyze25sz
There may be others: http://tinyurl.com/fetjhecn
Social decision-making driven by artistic explore-exploit tension: http://tinyurl.com/4r2uxebr
Rhythmbots: http://tinyurl.com/mr3k9f43
CreativeX (Naomi's website): http:/

Support the Show.

Podcast info
Podcast website: https://www.incontrolpodcast.com/
Apple Podcasts: https://tinyurl.com/5n84j85j
Spotify: https://tinyurl.com/4rwztj3c
RSS: https://tinyurl.com/yc2fcv4y
Youtube: https://tinyurl.com/bdbvhsj6
Facebook: https://tinyurl.com/3z24yr43
Twitter: https://twitter.com/IncontrolP
Instagram: https://tinyurl.com/35cu4kr4

Acknowledgments and sponsors
This episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation» and the IFAC Activity fund. The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to L. Seward, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio and mirrorlake . Music was composed by A New Element.