For our next “Control meets Learning” virtual seminar, we are excited to have Prof. Miroslav Krstic from the University of California San Diego (UCSD). The talk will start at 9:00 AM Pacific Time on Wednesday, June 9, 2021. To join the seminar, you may use the Zoom link below or watch the livestream on YouTube.
Zoom:
https://caltech.zoom.us/j/84763843230YouTube:
https://youtu.be/9IULAYjO0ZgTitle: Control has met learning: Aspirational lessons from adaptive control theory
Abstract: Adaptive control is a field thanks to whose six decades of activity many challenges in combining feedback control with online learning have been either overcome or understood to be insurmountable. As such, the results in this field are not only a veritable checklist of properties that future learning-based control methods, including those related to reinforcement learning, should strive to guarantee but also a checklist of properties demonstrated or deemed hopeless. I will touch on learning-based feedback designs across the entire spectrum in terms of reliance on models - from the conventional model-based adaptive control, to non-model-based RL, to the entirely model-free “extremum seeking.” I focus on fundamental questions but illustrate them with examples from robotics, aquatic locomotion, road traffic, and semiconductor manufacturing.
Bio: Miroslav Krstic studies adaptive control, extremum seeking, nonlinear and stochastic control, control of PDE systems including turbulent flows, and control of delay systems. He has co-authored 16 books and about 400 journal papers on these subjects. Since 2012 he has divided his time between his research and serving as Senior Associate Vice Chancellor for Research at UC San Diego. Krstic is a recipient of the Bellman Award, SIAM Reid Prize, ASME Oldenburger Medal, and a dozen other awards. He is a foreign member of the Serbain Academy of Sciences and Arts and Fellow of IEEE, IFAC, ASME, SIAM, AAAS, IET (UK), and AIAA-AF. He is the EiC of Systems & Control Letters and area Editor in Automatica.
--
FROM 202.121.181.*