Vijay Gupta received his B. Tech degree from the Indian Institute of Technology Delhi, and his M.S. and Ph.D . degrees from the California Institute of Technology, all in Electrical Engineering. He has served as a research associate at the Institute for Systems Research at the University of Maryland, College Park and as a consultant to the United Technologies Research Center. Since 2008, he has been an Assistant Professor of Electrical Engineering at the University of Notre Dame. His research and teaching interests lie in the general area of intersection of control, communication and processing. Specific problems include fundamental performance limits for control across communication networks, network protocol design for estimation and control, control with time-varying processing resources, and design of scalable network communication protocols. He won the NSF CAREER award in 2009 and the Donald P. Eckman Award from the American Automatic Control Council in 2013.
Cyber-physical systems are the next generation of engineering systems, with applications spanning critical infrastructure control, automotive systems, energy conservation, environmental monitoring, and robotics. However, we still lack the ability to design such systems in a systematic and scalable manner. One of the major reasons for this fact is that these systems pose problems at the intersection of many different branches of systems theory. It is likely that successful analysis and design of cyber-physical systems will require porting of tools and techniques from many other disciplines to estimation and control. Thus, for instance, effects introduced by communication networks cannot be considered as an after-thought to the control design, security cannot be provided only through cryptography and must be inherent in the control algorithm design, and processor scheduling algorithms may not always be able to provide the control algorithm with as much resources as demanded. While a fully developed theory of cyber-physical systems will require much work and time, I will cover some examples from our recent work that illustrate this theme. By modeling specific aspects of the interaction of the cyber and physical parts of the system, I will discuss how tools from information theory, real-time systems, and learning theory can improve control performance.