Control and Communication of Cyber-Physical Systems over Low-Power Lossy Links

ABSTRACT: Many emerging cyber-physical systems, for example those arising in the internet-of-things, will operate at very low power over lossy communication links. This creates a very tight set of constraints on the transmit power, bit rate, and tolerable delay, which, if not appropriately dealt with, can lead to severe loss of performance. We will describe three novel approaches for addressing the control and communication challenges in such cyber-physical systems. We study the problem of minimizing an LQG control cost over a rate-constrained channel, the design of tree codes for real-time control over lossy links, and the development of a new modulation scheme for low power blind communications called MOCZ (modulation over conjugate zeros).

BIO: Babak Hassibi is the inaugural Mose and Lillian S. Bohn Professor of Electrical Engineering at the California Institute of Technology, where he has been since 2001, From 2011 to 2016 he was the Gordon M Binder/Amgen Professor of Electrical Engineering and during 2008-2015 he was Executive Officer of Electrical Engineering, as well as Associate Director of Information Science and Technology. Prior to Caltech, he was a Member of the Technical Staff in the Mathematical Sciences Research Center at Bell Laboratories, Murray Hill, NJ. He obtained his PhD degree from Stanford University in 1996 and his BS degree from the University of Tehran in 1989. His research interests span various aspects of information theory, communications, signal processing, control, and machine learning. He is an ISI highly cited author in Computer Science and, among other awards, is the recipient of the US Presidential Early Career Award for Scientists and Engineers (PECASE) and the David and Lucille Packard Fellowship in Science and Engineering. He is General co-Chair of the 2020 IEEE International Symposium on Information Theory (ISIT 2020).

Hosted by: Paul Bogdan