工业工程与管理系学术报告10.28（报告人：Prof. Andrey Savkin）
发布时间: 2010-10-26 04:29:00
|
题目：Estimation and Control over Communication Networks 报告人简介
Prof. Andrey Savkin received the M.S. and Ph.D degrees from the Leningrad State University, U.S.S.R. in 1987 and 1991, respectively. From 1987 to 1992, he was with the Television Research Institute, Leningrad, U.S.S.R. From 1992 to 1994, he held a postdoctoral position in the Department of Electrical Engineering, Australian Defence Force Academy, Canberra. From 1994 to 1996, he was a Research Fellow with the Department of Electrical and Electronic Engineering and the Cooperative Research Center for Sensor Signal and Information Processing at the University of Melbourne, Australia. In 1996-2000, he was a Senior Lecturer, and then an Associate Professor with the Department of Electrical and Electronic Engineering at the University of Western Australia, Perth. Since 2000, he has been a Professor with the School of Electrical Engineering and Telecommunications at the University of New South Wales, Sydney, Australia.
His current research interests include robust control and state estimation, networked control systems, guidance, navigation and control of mobile robots, applications of control and signal processing in biomedical engineering and medicine, wind power control. He has authored/co-authored five research monographs and numerous journal and conference papers on these topics. He has served as an associate editor for several international journals. 报告摘要
Rapid advances in communication technology have created the possibility of large-scale control systems with distribution of control tasks among several processors via communication channels. Such control systems may be distributed over large distances and may use large numbers of actuators and sensors. The possibility of such networked control systems has motivated the development of a new chapter in control theory in which control and communication issues are integrated, and all the limitations of communication channels are considered.
This talk attempts to present a systematic theory of estimation and control over communication networks. Using several selected problems of estimation and control over communication networks, we present and prove a number of results concerning optimality, stability, and robustness having practical significance for networked control system design. In particular, various problems of Kalman filtering, stabilization, and optimal control over communication channels are considered and solved. The results establish fundamental links among mathematical control theory, Shannon information theory, and entropy theory of dynamical systems. 主持人：楚天广 教授
时间：10月28日（周四）上午10:30
地点：力学大院湍流会议室
欢迎参加！
|