Analysis and Synthesis of Fuzzy Control Systems

Modeling fuzzy control has been a very active research and application area in control engineering. However, there are few books available that cover the area in any depth. Written by a well-known expert who has published more than 100 papers in top international journals, this book gives insight into the latest approaches for the analysis and synthesis of fuzzy systems. It systematically presents design techniques applied to the Takagi-Sugeno class of fuzzy controllers widely used in successful practical applications. The book covers issues of robustness, stability, and conformity along with other state-of-the-art control techniques, such as model predictive control.

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques. However, because it is fundamentally model free, conventional FLC suffers from a lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have been developed, with the fuzzy dynamic model or the Takagi and Sugeno (T-S) fuzzy model-based approaches receiving the greatest attention.

Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach offers a unique reference devoted to the systematic analysis and synthesis of model-based fuzzy control systems. After giving a brief review of the varieties of FLC, including the T-S fuzzy model-based control, it fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems. This enables the book to be self-contained and provides a basis for later chapters, which cover:

• T-S fuzzy modeling and identification via nonlinear models or data
• Stability analysis of T-S fuzzy systems
• Stabilization controller synthesis as well as robust H and observer and output feedback controller synthesis
• Robust controller synthesis of uncertain T-S fuzzy systems
• Time-delay T-S fuzzy systems
• Fuzzy model predictive control
• Robust fuzzy filtering

• Adaptive control of T-S fuzzy systems

  A reference for scientists and engineers in systems and control, the book also serves the needs of graduate students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly combined and further developed so that disadvantages of conventional FLC can be avoided and the horizon of conventional control technology greatly extended. Many chapters feature application simulation examples and practical numerical examples based on MATLAB®.

  Autorentext

Gang (Gary) Feng is Associate Provost and Chair Professor of Mechatronic Engineering at the City University of Hong Kong. He is also the Cheung Kong Chair Professor at Nanjing University of Science and Technology conferred by the Education Ministry of China. Dr. Feng has done research work in adaptive control, robot control, intelligent control, and, more recently, control of piecewise linear systems and switched systems. His research work has led to the publication of one edited book, seven invited book chapters, and over 180 international journal papers and numerous international conference papers. He has received the IEEE Transactions on Fuzzy Systems Outstanding Paper Award (2007), an Alexander von Humboldt Research Fellowship of Germany (1997), and a number of best conference paper awards. He has been invited to give plenary/special lectures at a number of international conferences. Dr. Feng is an IEEE Fellow and an associate editor of IEEE Transactions on Automatic Control, IEEE Transactions on Fuzzy Systems, and Mechatronics. He has served as an associate editor of IEEE Transactions on Systems, Man, & Cybernetics, Part C, Control Theory and Applications, and on the Conference Editorial Board, IEEE Control Systems Society.

Inhalt

Introduction to Fuzzy Logic Control. Fuzzy Sets and Fuzzy Systems. TS Fuzzy Modeling and Identification. Stability Analysis of TS Fuzzy Systems. Stabilization Controller Synthesis of TS Fuzzy Systems. Robust H Controller Synthesis of TS Fuzzy Systems. Observer and Output Feedback Controller Synthesis of TS Fuzzy Systems. Robust Controller Synthesis of Uncertain TS Fuzzy Systems. Controller Synthesis of TS Fuzzy Systems with Time-Delay. Fuzzy Model Predictive Control. Robust Filtering of TS Fuzzy Systems. Adaptive Control of TS Fuzzy Systems.