报告题目：An Overview to Fuzzy-Model-Based Control（模糊系统控制概述）
报告人：H.K.Lam 教授，King’s College London
H. K. Lam received the B.Eng. (Hons.) and Ph.D. degrees from the Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, in 1995 and 2000, respectively. During the period of 2000 and 2005, he worked with the Department of Electronic and Information Engineering at The Hong Kong Polytechnic University as Post-Doctoral Fellow and Research Fellow respectively. He joined as a Lecturer at King’s College London in 2005 and is currently a Reader. His current research interests include intelligent control and computational intelligence. He has served as a program committee member, international advisory board member, invited session chair and publication chair for various international conferences and a reviewer for various books, international journals and international conferences. He is an associate editor for IEEE Transactions on Fuzzy Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, IET Control Theory and Applications, International Journal of Fuzzy Systems and Neurocomputing; and guest editor for a number of international journals. He is in the editorial board of Journal of Intelligent Learning Systems and Applications, Journal of Applied Mathematics, Mathematical Problems in Engineering, Modelling and Simulation in Engineering, Annual Review of Chaos Theory, Bifurcations and Dynamical System, The Open Cybernetics and Systemics Journal, Cogent Engineering and International Journal of Sensors, Wireless Communications and Control. He is an IEEE senior member. He is a coeditor of two edited volumes: Control of Chaotic Nonlinear Circuits (World Scientific, 2009) and Computational Intelligence and Its Applications (World Scientific, 2012), and author/coauthor of three monographs: Stability Analysis of Fuzzy-Model-Based Control Systems (Springer, 2011), Polynomial Fuzzy Model Based Control Systems (Springer, 2016) and Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems (Springer, 2016).
报告内容概况：This talk gives an overview of the fuzzy-model-based control systems with emphasis on stability analysis, in particular for the issues of relaxation of stability analysis results. The development of FMB control from the concept of fuzzy logic first proposed in 1965 and early stage of fuzzy-model-free control ideas to the state-of-the-art FMB control system analysis will be presented as a start. It then walks through the beauty of fuzzy-model-free control to the advance of fuzzy-model-based control. The speaker will then present his notion on the partially/imperfectly premise matching and membership-function-dependent analysis, which bring the stability analysis of fuzzy-model-based control system to another level from the point of view on applicability, practicality, design issues and relaxation of stability analysis. In short, the design constraints and conservativeness of stability analysis are alleviated compared with the traditional approach. Various practical applications will be demonstrated in support of the claims.