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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. This book is devoted to the systematic analysis and synthesis of model-based fuzzy control systems. It fully explains the fundamental concepts of fuzzy sets, fuzzy logic, and fuzzy systems.
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