Seminar Date(s)
Seminar Location
Jacobs Hall, Room 4309
Seminar Speaker
Girish Nair, Professor and ARC Future Fellow in the Dept. of Electrical and Electronic Engineering, Univ. of Melbourne, Australia
Abstract
This talk is an overview of recent non-probabilistic information concepts that are motivated by worst-case estimation and control. Using this framework, analogues of independence, Markovness, information, and directed information can be defined for variables not governed by probability distributions. This yields information-theoretic tools to study worst-case state estimation and control problems over finite-capacity channels.
Seminar Speaker Bio
Girish Nair was born in Malaysia and is a professor and ARC Future Fellow in the Dept. of Electrical and Electronic Engineering, U. Melbourne, Australia. He has also held visiting positions at U. Padova, Boston U. and ETH Zurich, and has received several prizes, including the IEEE CSS Axelby Outstanding Paper Award in 2014, a SIAM Outstanding Paper Prize in 2006, and the Best Theory Paper Prize at the UKACC Int. Conf. Control, Cambridge U., 2000. He served as associate editor for the SIAM J. Control and Optimization from 2006 - 2011, and for the IEEE. Trans. Automatic Control from 2011 - 2015.
Seminar Contact
Tara Javidi <tjavidi@ucsd.edu>