inControl

Alberto Padoan

The first podcast on control theory.
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Top 10 inControl Episodes

Goodpods has curated a list of the 10 best inControl episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to inControl for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite inControl episode by adding your comments to the episode page.

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

inControl

08/18/22 • 53 min

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

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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.

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

inControl

07/12/22 • 38 min

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

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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

12/13/23 • 67 min

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

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

inControl

02/16/24 • 67 min

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

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

inControl

04/15/24 • 80 min

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

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

inControl

05/16/22 • 81 min

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

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ep2 - Florian Dörfler: Power is nothing without control

inControl

05/16/22 • 23 min

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

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ep6 - Norbert Wiener and Cybernetics

inControl

10/17/22 • 63 min

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

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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

01/15/24 • 57 min

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://

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ep28 - Karl Henrik Johansson: Semper in Motu - Hybrid Systems, Wireless and Event-Based Control, Mobility, Cybersecurity, and Societal Challenges

inControl

12/15/24 • 89 min

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

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FAQ

How many episodes does inControl have?

inControl currently has 28 episodes available.

What topics does inControl cover?

The podcast is about Podcasts, Science, Artificial Intelligence and Engineering.

What is the most popular episode on inControl?

The episode title 'ep5 - Sean Meyn: Markov chains, networks, reinforcement learning, beekeeping and jazz' is the most popular.

What is the average episode length on inControl?

The average episode length on inControl is 80 minutes.

How often are episodes of inControl released?

Episodes of inControl are typically released every 30 days, 18 hours.

When was the first episode of inControl?

The first episode of inControl was released on May 16, 2022.

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inControl

Alberto Padoan

Top 10 inControl Episodes

FAQ

How many episodes does inControl have?

What topics does inControl cover?

What is the most popular episode on inControl?

What is the average episode length on inControl?

How often are episodes of inControl released?

When was the first episode of inControl?

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