讲座1：Multiobjective control and filtering with randomly occurred incomplete
Abstract: In this talk, we will discuss the multiobjective stochastic control and filtering problem with randomly occurred incomplete information. The multiple objectives include stability, steady-state and transient behaviors, variance constraints, robustness, reliability, non-fragility, etc. The main theme is the introduction of the randomly occurred incomplete information, such as random uncertainties, missing measurements, random quantization, and short time-series. Both the theoretical research and engineering applications will be discussed, and a series of recently published results will be reported.
讲座2：Distributed filtering of sensor networks
Abstract: The past few decades have witnessed constant research interests on various aspects of sensor networks due primarily to the fact that sensor networks have been extensively applied in many fields such as information collection, environmental monitoring, industrial automation and intelligent buildings. In particular, the distributed filtering or estimation for sensor networks has been an ongoing research issue that attracts increasing attention from researchers in the area. In this talk, we will report our recent work on distributed filtering over both the finite-horizon and infinite-horizon. We will first talk about the distributed consensus H-infinity filtering in sensor networks with multiple missing measurements, and then discuss about the distributed H-infinity filtering for polynomial nonlinear stochastic systems in sensor networks. Some future research directions will be pointed out as well.