ep42 - inControl guide to ... the Nyquist criterion
inControl16 Mar

ep42 - inControl guide to ... the Nyquist criterion

Outline 00:00 – Intro 04:43 – Life and background 08:45 – Bell Labs 13:42 – Inventing the negative feedback amplifier 18:15 – Nyquist's landmark contributions 20:43 – Regeneration theory 27:10 – Frequency response 32:03 – Cauchy’s argument principle 36:05 – The Nyquist criterion 41:37 – Why is it so hard? 45:27 – Robustness, margins, and practical aspects 56:41 – Beyond the Nyquist criterion 1:04:25 – Pitfalls and common misunderstandings 1:07:00 – Outro Links Brian Douglas's video: http://y2...

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Episoder(44)

ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice

ep36 - Markos Papageorgiou: Traffic Control — Theory and Practice

Outline 00:00 – Intro 00:51 – Early steps in research 09:55 – Historical overview of traffic control 25:20 – What is traffic? 34:06 – Road traffic control 45:37 – PI control of road junctions 58:19 – ...

15 Sep 20252h 14min

ep35 - Cosimo Della Santina: From Dexterous Manipulation to Soft Robotics and Embodied Intelligence

ep35 - Cosimo Della Santina: From Dexterous Manipulation to Soft Robotics and Embodied Intelligence

Outline 00:00 – Intro 01:19 – Early steps: PhD journey & robotic hands 15:42 – What is a soft robot? 23:35 – MIT years & models of soft robots 30:01 – Discretization & underactuation 37:21 – The ...

15 Aug 20251h 46min

ep34 - inControl guide to ... Controllability & Observability

ep34 - inControl guide to ... Controllability & Observability

Outline 00:00 - Intro 01:06 - The big idea 03:42 - Controllability, observability, and ... the space race! 14:52 - Kálmán and the state-space paradigm 00:00 - The math and intuition: state-space basi...

17 Jul 202559min

ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization

ep33 - Mathukumalli Vidyasagar: control synthesis, robotics, randomized algorithms, learning, compressed sensing, non-convex optimization

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 g...

16 Jun 20251h 18min

ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control

ep32 - Anders Rantzer: robust control, IQCs, nonlinear and hybrid systems, positivity and scalable control, adaptive control

Outline 00:00 - Intro and early steps in control 06:42 - Journey to the US 08:30 - Kharitonov's theorem and early influences 12:10 - From Lund to KTH (Stockholm) 15:01 - Ascona and collaboration with ...

16 Mai 20251h 30min

ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control

ep31 - Miroslav Krstić: nonlinear adaptive control, PDEs, delays, extremum seeking, safety, neural operators for control

Outline 00:00 - Intro 01:07 - Early steps 02:47 - Why control? 05:20 - The move to the US 07:40 - The first journal paper 13:30 - What is backstepping? 17:08 - Grad school 25:10 - Stochastic stabiliza...

15 Apr 20252h 2min

ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control

ep30 - Manfred Morari: A pioneer’s journey through robust, predictive and computational control

Outline 00:00 - Intro 03:26 - Development: ETH Zürich 07:15 - Growth: Minnesota and Wisconsin 36:16 - Productivity: Caltech 53:28 - Change: ETH Zürich 01:37:18 - Continuity: University of Pennsylvania...

17 Feb 20251h 46min

ep29 - Richard Bellman: The Father of Dynamic Programming

ep29 - Richard Bellman: The Father of Dynamic Programming

Outline 00:00 - Intro 02:42 - Early life 10:24 - WWII, Johns Hopkins, Belleville, Madison 17:17 - Princeton 20:30 - Los Alamos 24:12 - Back to Princeton 31:01 - RAND + Stanford 42:10 - Dynamic pro...

17 Jan 20251h 29min

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