CoSy seminar: "Optimal and Dual Control for Large-scale Systems"

Everyone is welcome and the first 40 people to register will be treated to a free lunch sandwich. If you do not want lunch, you are still welcome to join.

Register for a lunch sandwich (before Sunday 12 October).

Abstract: The interplay between learning and control has a history dating back at least half a century, but a surge of new activities has recently been stimulated by progress in reinforcement learning algorithms with strong ties to optimal control. This presentation will focus on concepts and ideas in the intersection between control and computer science. Special attention will be given to recent progress in the theory of dynamic programming, where new ideas enable computations with improved scalability and a deeper understanding of the classical exploration-exploitation tradeoff.

Bio: Anders Rantzer was appointed professor of Automatic Control at Lund University, Sweden, after a PhD at KTH Stockholm in 1991 and a postdoc 1992/93 at IMA, University of Minnesota. The academic year of 2004/05 he was visiting associate faculty member at Caltech and 2015/16 he was Taylor Family Distinguished Visiting Professor at University of
Minnesota. Rantzer is a member of the Royal Swedish Academy of Engineering Sciences and a Fellow of IEEE and IFAC. He has been chairman of the Swedish Scientific Council for Natural and Engineering Sciences as well as the Royal Physiographic Society in Lund. His research interests are in modeling, analysis and synthesis of control systems, with particular attention to scalability and adaptation.

This is a lecture in the seminar series held by CIM (Centre for Interdisciplinary Mathematics).