报告主题：Optimal Stationary State Estimation Over Multiple Markovian Packet Drop Channels

报 告 人：顾国祥教授

报告时间：12月20日（周日），上午10：15-11：00

报告地点：信息楼D533会议室（学术报告厅）

链接：https://zoom.com.cn/j/9321600184?pwd=bkk4b3prTmp6K1JnblhJS3VMa091Zz09

会议号：932 160 0184

密码：6666

报告内容：

We study the problem of state estimation over multiple Markovian packet drop channels. The optimal estimator is obtained, which minimizes the error variance in the steady state, based on the MS stabilizing solution to the coupled algebraic Riccati equations (CARE). A necessary and sufficient condition is derived for the existence of the MS stabilizing solution. A sufficient condition is provided to decouple multiple Markovian packet drop channels, and a locally optimal stationary estimator is proposed to reduce the complexity. Analytic sufficient and necessary MS detectability conditions are presented for the decoupled subsystems subsequently. Numerical simulations illustrate the results.

报告人简介：

Guoxiang Gu received the Ph.D. degree in electrical engineering from the University of Minnesota, Minneapolis, MN, USA, in 1988. From 1988 to 1990, he was with the Department of Electrical Engineering, Wright State University, Dayton, OH, as a Visiting Assistant Professor. In 1990, he joined Louisiana State University (LSU), Baton Rouge, where he is currently a Professor of Electrical and Computer Engineering. He has published two books, over 80 archive journal papers and numerous book chapters and conference papers. He has held visiting positions at Wright-Patterson Air Force Base and in the Hong Kong University of Science and Technology. He was an Associate Editor for the SIAM Journal on Control and Optimization from 2006 to 2009, Automatica from 2006 to 2012, and has been serving as an Associate Editor for IEEE Transactions on Automatic Control since 2018, after his service from 1998 to 2000. He is presently the F. Hugh Coughlin/ CLECO Distinguished Professor of Electrical Engineering at LSU, and a fellow of IEEE. His current research interests are mainly in networked control systems and engineering applications.