摘要: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. 报告人介绍： Ling Shi received the B.S. degree in electrical and electronic engineering from Hong Kong University of Science and Technology,Kowloon, Hong Kong, in 2002 and the Ph.D. degree in Control and Dynamical Systems from California Institute of Technology,Pasadena, CA, USA, in 2008. He is currently an associate professor at the Department of Electronic and Computer Engineering, 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. He is a senior member of IEEE. He served as an editorial board member for The European Control Conference 2013-2016. He has been serving as a subject editor for International Journal of Robust and Nonlinear Control from March 2015, an associate editor for IEEE Transactions on Control of Network Systems from July 2016,and an associate editor for IEEE Control Systems Letters from Feb 2017. He also served as an associate editor for a special issue on Secure Control of Cyber Physical Systems in the IEEE Transactions on Control of Network Systems in 2015-2017. He serves as the General Chair of the 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS 2018).