题目：Recent advances in stability analysis of time-delay systems
地点：延长校区电机楼2楼会议室
时间：2016年11月14日10：00-11：30
主办方：机自学院自动化系，上海大学网络化控制研究中心

报告摘要：
Stability is a fundamental issue for the practical applications of linear systems with time-varying delay. In order to reduce the conservatism of a stability criterion, lots of efforts have been made and a great number of results have been reported in the literature. In recent years, a class of novel integral inequalities have been proposed, which can provide tight bound for the integral terms appearing in the derivative of some Lyapunov-Krsovskii functional. This talk presents an overview of recent advances in stability analysis using the integral inequality approach, and some challenging issues as well.

报告人：张先明博士，Swinburne University of Technology

报告人简介：
Zhang Xian-Ming received the M.Sc. degree in applied mathematics and the Ph.D. degree in control theory and engineering from Central South University, Changsha, China, in 1992 and 2006, respectively. In April 1992, he joined Central South University, Changsha, China, where he was an Associate professor within the School of Mathematics and Statistics. From February 2007 to December2014, he was a postdoctoral research fellow and a Lecturer within the School of Engineering and Technology, Central Queensland University, Rock Hampton, Australia. From December 2014 to July 2016, he was a Lecturer within the Griffith School of Engineering, Griffith University, Gold Coast, Australia. In July 2016, he joined Swinburne University of Technology, Melbourne, Australia, where he is currently a Senior Lecturer within the School of Software and Electrical Engineering.  He won the second National Natural Science Award in China in 2013, and won the first Hunan Provincial Natural Science Award in Hunan Province in China in 2011, both jointly with Professors Min Wu and Yong He. He won the IET Premium Award in 2016, jointly with Professor Qing-Long Han. Dr. Zhang’s current research interests include H-infinity filtering, event-triggered control systems, networked control systems, neural networks, distributed systems, and time-delay systems.