ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization
Shownotes
Outline
00:00 - Intro
00:42 - “Research should be fun”
02:02 - Early steps in research
09:00 - Book writing and meeting C. Desoer
18:33 - Control synthesis via the factorization approach
25:46 - The graph metric
29:27 - Robotics and CAIR
36:00 - Randomized algorithms
40:41 - On learning
44:05 - Neural networks
48:40 - Tata, hidden Markov models, and large deviations theory
55:48 - Picking problems and role of luck
58:07 - Compressed sensing and non-convex optimization
01:02:17 - Interplay between control and machine learning
01:09:10 - Advice to future students
01:13:29 - Future of control
Links
Sagar’s website: https://tinyurl.com/4hwruajs
Hilbert: https://tinyurl.com/ykpdh929
Feedback Systems: https://tinyurl.com/2k3jsdat
How to Write Mathematics: https://tinyurl.com/35794bv9
Nonlinear systems: https://tinyurl.com/2fdtnjcm
C. Desoer: https://tinyurl.com/svhknren
Control Systems Synthesis — A Factorization Approach: https://tinyurl.com/59wdc4sv
Aryabhata: https://tinyurl.com/43x6hfhp
A Brief History of the Graph Topology: https://tinyurl.com/49uftzdk
Robot Dynamics and Control: https://tinyurl.com/5b4cmt7m
CAIR: https://tinyurl.com/rajdtxax
Randomized algorithms for robust controller synthesis using statistical learning theory: https://tinyurl.com/wanpyeuc
R. Tempo: https://tinyurl.com/jkufdwar
VC dimension: https://tinyurl.com/mvwk8afm
Learning and Generalisation: https://tinyurl.com/2s3mzh8h
Are Analog Neural Networks Better Than Binary Neural Networks? https://tinyurl.com/3fnk27xc
Hidden Markov Processes: https://tinyurl.com/t5frrvfz
An Introduction to Compressed Sensing: https://tinyurl.com/fc6a8eer
Podcast info
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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.