学术报告第201301期

报告题目: Stabilizing  Control for Networked Systems with Quantization Errors and Fading  Channels

报 告 人：Professor Xiang Chen (University  of Windsor,  Canada)

报告时间：2013年5月2日(周四)上午10:30

报告地点：南一楼中311 会议室

邀 请 方：“多谱信息处理技术”国家级重点实验室

摘要: The  quadratic mean square (QMS) stability is defined first in this presentation. The  main focus is on the stabilizing control design through output feedback that  achieves QMS stability for networked systems where the feedback controller  interacts with the plant through a communication channel subject to both  quantization errors and multiplicative random noises. To do that, the state  feedback stabilizing control result is presented with a necessary and sufficient  condition in terms of Mahler measure of the plant which then motivates the  design of an observer based output feedback stabilizing controller for different  available signals in the controller channel. Network resource required to  accomplish output feedback stabilization is characterized. It is shown that, if  the channel output signal is available to the controller, the minimal network  resource for output feedback is the same as that for state feedback (no  surprise), while, if the quantized signal is available to the controller, the  output feedback control law in general requires more network resources to  accomplish stabilization, and, finally, if the controller signal itself is used,  a class of output feedback stabilizing controllers can be actually characterized  in this case. Moreover, it is also shown that the set of systems which can be  stabilized through a quantized fading channel by output feedback is closely  related to the so called worst signal-to-noise ratio (WSNR) of the channel. It  is interesting to observe that, from these results, the stabilizing control  conditions can be characterized using Mahler measure of the plant, which, more  or less, indicates the consistency between the control theory and the  information theory for the addressed problem.

个人简介：

Professor  Xiang Chen received  his Ph. D. degree in system and control from Louisiana State University in 1998. Since 2000, he has  held cross appointed positions in Department of Electrical and Computer  Engineering and Department of Mechanical, Automotive and Materials Engineering  at the University  of Windsor and is currently  a Professor in the Department of Electrical and Computer Engineering. He has  made fundamental contribution to Gaussian filtering and control and to the  control theory of nonlinear systems with bifurcation. He has also made  significant contribution to industrial applications of control and optimization  in automotive systems and in vision based sensing systems through extensive  collaborative research and development activities with robotic and automotive  industries. Some of the deliverables have been patented by relevant companies or  became transferred technologies to relevant companies. He is currently an  Associate Editor for SIAM Journal on Control and Optimization and was an  Associate Editor for the Journal of Circuits, Systems and Computers from 2004 to  2008. He received Research Awards (twice) from the University of Windsor. His research has been well  supported by research funds from government agencies at both federal and  provincial levels in Canada and from industrial companies in both Canada and USA . He has  published more than 100 papers in journals and conference proceedings. His  current research interests include optimization and control (robust and optimal)  of systems with complexities, graph-/game-theoretic approaches for complex  networked systems, as well as applications to automotive control systems and  robotic vision sensor networks. He is a registered Professional Engineer in  Ontario, Canada .