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cyber-physical-human_systems_-_results_and_challenges [2016/09/01 19:15] (current)
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|+||Abstract: Advances in networking and information technology have permitted us to integrate cyber and physical components to design complex systems in fields as diverse as critical infrastructure control, automotive systems, energy conservation, environmental monitoring, and robotics. As we aim to endow such systems with higher levels of autonomy, we have to consider explicitly their interaction with people at multiple layers and in various roles. It is increasingly clear that one of the next frontiers for autonomous systems is to be able to design such cyber-physical-human systems in a systematic and scalable manner. This will naturally require integration of models, tools, constraints and techniques from the individual disciplines. I will cover some examples from our recent work that illustrate this theme. I will begin with the problem of phantom demand response in smart grid which arises when strategic customers seek to maximize their gain by anticipating the control signals that will be used. Then, I will present our recent work on cyber-physical system security that considers malicious intruders seeking to attack the physical system through hijacking the cyber components. Finally, I will show how extending some classical control tools such as passivity and dissipativity to consider cyber components explicitly can help guarantee properties such as composability that are desirable in complex systems. I will finish with some thoughts on challenges that face us in the design of cyber-physical-human systems.|
|+||Bio: Vijay Gupta is the College of Engineering Collegiate Associate Professor of Electrical Engineering at the University of Notre Dame, having joined the faculty in January 2008. He received his B. Tech degree at Indian Institute of Technology, Delhi, and his M.S. and Ph.D. at California Institute of Technology, all in Electrical Engineering. Prior to joining Notre Dame, he also served as a research associate in the Institute for Systems Research at the University of Maryland, College Park, and as a consultant at the United Technologies Research Center. He received the 2013 Donald P. Eckman Award from the American Automatic Control Council and a 2009 National Science Foundation (NSF) CAREER Award. His research and teaching interests are broadly in the interface of communication, control, distributed computation, and human decision making.|