远程状态估计:从丢包到传感器调度
Remote State Estimation: From Packet Dropping to Sensor Scheduling
施凌   Ling Shi
报告人照片   Ling Shi received the B.S. degree from Hong Kong University of Science and Technology in 2002 and the Ph.D. degree from California Institute of Technology in 2008. He is currently an associate professor at Hong Kong University of Science and Technology. His research interests include cyber-physical systems security, networked control systems, sensor scheduling, and event-based state estimation. Now he is a subject editor for IJRNC, an associate editor for IEEE TCNS and L-CSS. He serves as the General Chair of the 23rd International Symposium on MTNS, 2018
  In this talk, we present some recent works in remote state estimation of a linear Gaussian system. In particular, our focus is on two aspects of remote estimation: packet dropping and sensor scheduling. We start by giving an overview of some existing results on estimation over a packet-dropping network. This is followed by a discussion on sensor scheduling and an introduction of both offline and online sensor schedules, the latter of which is also known as event-based sensor schedules. We show that the offline schedules and some well-designed event-based schedules preserve the Gaussianity of the system. When scheduling the sensor transmission over a packet-dropping network, we show that it is not possible to design any event-based schedules, except the offline ones, which can preserve the Gaussianity of the system.
报告时间:2018年01月14日13时30分    报告地点:电二楼208会议室
报名截止日期:2018年01月14日    可选人数:40