Fuzzy System Identification and Adaptive Control / Communications and Control Engineering (PDF)
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This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi-Sugeno (T-S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T-S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also:
- introduces basic concepts of fuzzy sets, logic and inference system;
- discusses important properties of T-S fuzzy systems;
- develops offline and online identification algorithms for T-S fuzzy systems;
- investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T-S fuzzy systems;
- develops adaptive control algorithms for discrete-time input-output formT-S fuzzy systems with much relaxed design conditions, and discrete-time state-space T-S fuzzy systems; and
- designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T-S fuzzy systems.
Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
Gang Tao received his B.S. (EE) degree from University of Science and Technology of China in 1982, M.S. (EE, CpE and APMA) degrees and Ph.D. (EE) degree from University of Southern California during 1984 and 1989. He is a full professor in Department of Electrical and Computer Engineering at University of Virginia and a Fellow of IEEE. For more than 30 years, he has worked in various areas of adaptive control theory and applications, with particular interests in adaptive control of systems with multiple inputs and multiple outputs, systems with nonsmooth nonlinearities, and systems with uncertain faults, in stability and robustness of adaptive control systems, and in passivity characterizations of control systems. His publications include the 2003 Wiley textbook Adaptive Control Design and Analysis (by Gang Tao), the 1996 Wiley book Adaptive Control of Systems with Actuator and Sensor Nonlinearities (by Gang Tao and Petar Kokotovic), the 2004 Springer book Adaptive Control of Systems with Actuator Failures (by Gang Tao, Shuhao Chen, Xidong Tang and Suresh M. Joshi),
Bin Jiang received the Ph.D. degree in Automatic Control from Northeastern University, Shenyang, China, in 1995. He had ever been postdoctoral fellow, research fellow, invited professor and visiting professor in Singapore, France, USA and Canada, respectively. Now he is a Chair Professor of Cheung Kong Scholar Program in Ministry of Education and Vice President of Nanjing University of Aeronautics and Astronautics, China. He currently serves as Associate Editor or Editorial Board Member for a number of journals such as IEEE Trans. on Control Systems Technology; Int. J. Of Control, Automation and Systems; Nonlinear Analysis: Hybrid Systems, etc. He is a senior member of IEEE, Chair of Control Systems Chapter in IEEE Nanjing Section, a member of IFAC Technical Committee on Fault Detection, Supervision, and Safety of Technical Processes. His research interests include intelligent fault diagnosis and fault tolerant control and their applications to helicopter, satellite and high-speed train.
He has been the principle investigator on several projects of National Natural Science Foundation of China. He is the author of 8 books and over 200 referred international journal papers and conference papers. He won Second Class Prize of National Natural science award of China in 2018.
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