In the afternoon of December 5, 2014, a remarkable academic lecture entitled “Stochastic Event-triggered Sensor Schedule for Remote State Estimation” was held by the School of Automation Science and Engineering in Building 3. The lecture was given by Professor Ling Shi, who is currently an associate professor at the Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology. His research interests include networked control systems, wireless sensor networks, event-based state estimation and sensor scheduling, and smart energy systems.
The lecture was hosted by Prof. Weizhou Su, who is the professor of School of Automation Science and Engineering. At the beginning of this lecture, Prof Shi proposed an open-loop and a closed-loop stochastic event-triggered sensor schedule for remote state estimation. By introducing a deterministic event-triggering mechanism, the Gaussian property of the innovation process which produces a challenging nonlinear filter problem is destroyed. As a result, both schedules overcome the essential difficulties of existing schedules in recent literature works and eliminate unless approximation. Under these two schedules, he certified that the minimum mean squared error (MMSE) estimator and its estimation error covariance matrix are given in a closed-form. Finally, Prof. Shi formulated and solved an optimization problem to obtain the minimum communication rate under some estimation quality constraint using the open-loop sensor schedule.
