The book focuses on the analysis and synthesis of one-dimensional (1-D) and two-dimensional (2-D) fuzzy-model-based control systems. By exploiting available information of fuzzy systems, for example, membership functions, premise variable partition information, frequency spectrum of disturbances/faults and current/past output measurements, a basic theoretical framework is formed towards the issues of less conservative fuzzy-model-based analysis and synthesis for 1-D/2-D nonlinear systems. This is obtained by providing an in-depth study on several major topics such as membership function/piecewise Lyapunov function based stability analysis, sampled-data control, event-triggered state estimation, finite frequency control/filtering/fault detection, memory control/filtering for fuzzy systems. The comprehensive and systematic treatment of nonlinear systems based on fuzzy models is one of the major features of the book, which is particularly suitable for readers who are interested in learning fuzzy models and/or 1-D/2-D nonlinear systems. From this book, the reader can obtain the most advanced analysis and synthesis techniques for fuzzy-model-based nonlinear systems.
Table of Contents:
Introduction.- Sampled Data Control for TS Fuzzy Systems with Packet Dropouts.- Finite Frequency Memory Control for Fuzzy Affine Systems.- Finite Frequency Fuzzy Control for Two-Dimensional Nonlinear.- Memory Filtering for Fuzzy Affine Systems.- Event-Triggered State Estimation for Fuzzy Affine Systems.- Fuzzy Filtering for Continuous-Time Two Dimensional Nonlinear Systems.- Fuzzy Filtering for Discrete Time Two Dimensional Nonlinear.
About the Author :
Meng Wang received the B.Eng. degree in Automation from Northeastern University at Qinhuangdao, Qinhuangdao, China, in 2011, and the M.Eng. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2013, and the Ph.D. degree from the Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong SAR, China, in 2018. He is currently an Associate Professor at School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. His research interests include robust control and filtering, fuzzy systems and control, data-driven control, and their engineering applications.
Huaicheng Yan received his B.Sc. degree in automatic control from Wuhan University of Technology, China, in 2001, and the Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology, China, in 2007. In 2011, he was a Research Fellow with the University of Hong Kong, Hong Kong, for three months, and also a Research Fellow with the City University of Hong Kong, Hong Kong, in 2012, for six months. Currently, he is a Full Professor with the School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. Prof. Yan is an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robotics and Automation, and IEEE Open Journal of Circuits and Systems. His research interests include networked control systems, multi-agent systems and robotics.
Jianbin Qiu received the B.Eng. and Ph.D. degrees in Mechanical and Electrical Engineering from the University of Science and Technology of China, Hefei, China, in 2004 and 2009, respectively. He also received the Ph.D. degree in Mechatronics Engineering from the City University of Hong Kong, Kowloon, Hong Kong, in 2009. He is currently a Full Professor at the School of Astronautics, Harbin Institute of Technology, Harbin, China. He was an Alexander von Humboldt Research Fellow at the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. His current research interests include intelligent and hybrid control systems, signal processing, and robotics. Prof. Qiu is a Fellow of IEEE and serves as the chair of the IEEE Industrial Electronics Society Harbin Chapter, China. He is an Associate Editor of IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, and IEEE Transactions on Industrial Informatics.
