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Abstract: |
Modern systems are dominantly characterized by interconnected network systems. They are exemplified by power grids, electric vehicle charging networks, edge computing, renewable generators and controllable loads, autonomous vehicles, smart buildings, smart cities, gene networks, cyber-physical systems, internet of things, to name just a few. Management of such network systems encounters fundamental issues of information, uncertainty, and complexity, and demands integration of control, communications, and computing.
In this presentation, we will highlight some key motivations and critical issues in networked systems, and explain the importance in pursuing data- and complexity?based approaches. In particular, we will briefly discuss some recent advances in this direction, including data-size reduction in system identification, data transfer frequency reduction in estimation, data volume reduction in decision-based methodologies for modeling, and data travel distance reduction in distributed optimization and control strategies. Some open technical challenges will also be outlined. A few cases will be used to illustrate how communication system properties and uncertainties can impact safety and control performance of connected vehicles.
报告人简介：
Le Yi Wang received the Ph.D. degree in electrical engineering from McGill University, Montreal, Canada, in 1990. Since 1990, he has been with Wayne State University, Detroit, Michigan, where he is currently a professor in the Department of Electrical and Computer Engineering. His research interests are in the areas of complexity and information, system identification, robust control, H-infinity optimization, time-varying systems, adaptive systems, hybrid and nonlinear systems, information processing and learning, as well as medical, automotive, communications, power systems, and computer applications of control methodologies. He was a keynote speaker in several international conferences. He serves on the IFAC Technical Committee on Modeling, Identification and Signal Processing. He was an Associate Editor of the IEEE Transactions on Automatic Control and several other journals, and an Associate Editor of Journal of Control Theory and Applications. He was a Visiting Faculty at University of Michigan in 1996, Visiting Faculty Fellow at University of Western Sydney, Australia, in 2009 and 2013, and Visiting Faculty at Vienna University of Technology, Austria, in 2016. He is a member of a Foreign Expert Team in Beijing Jiao Tong University and a member of the Core International Expert Group at Academy of Mathematics and Systems Science, Chinese Academy of Sciences. He is an Eminent Engineer in Tau Beta Pi, a member of Academy of Scholars at Wayne State University, and a Fellow of IEEE.
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