报告题目：Detectability over sensor network
报告时间：2019年11月4日 (星期一) 10:00-12:00
报告摘要：Detectability (or observability) issue over sensor networks plays an important role in the advance of distributed state estimation, particularly, distributed Kalman filtering. Due to a variety of reasons such as cost restrictions or geographic limitations, from a single node point of view, the system is likely to be locally undetectable. Hence, it is important to investigate the new detectability conditions to suit those kinds of situations, and further apply them to design the desirable distributed filters. In this talk, the speaker will summarize the latest development in this topic and present some results his collaborators and him have obtained.
Wangyan Li received his B.Sc. degree in electrical engineering and automation in 2010 from Yangzhou University, Yangzhou, China, and Ph.D degree in system analysis and integration from the University of Shanghai for Science and Technology, Shanghai, China in 2017.
Dr. Li is currently a postdoctoral fellow with School of Chemical Engineering, UNSW, Sydney, Australia. From November 2015 to January 2016, he was a research associate with the Department of Mathematics, City University of Hong Kong, Hong Kong. From August 2017 to August 2018, he was a research associate with Griffith School of Engineering, Griffith University, Gold Coast, Australia. He has published more than 10 papers in refereed international journals. He is also an active reviewer for many international journals. His current research interests include observability/detectability over sensor networks, plantwide fault detection and diagnosis, data-driven theory, and dissipativity theory.