Fuzzy Logic Models and Fuzzy Control: An Introduction provides basic and concrete concepts of fuzzy set theory, fuzzy logic models and fuzzy control. The first part from chapters 1 to 3 deals with fuzzy sets with arithmetic operations; fuzzy numbers with applications; fuzzy logic and its applications in fuzzy control; fuzzy knowledge based control (FKBC); adaptive fuzzy control; non-linear fuzzy control; stability of fuzzy control system; and fuzzy control system model. Main aim of this book is to show that fuzzy control is not totally ad hoc and there exists formal techniques for analysis of a fuzzy controller. Even if no expert knowledge is available, fuzzy control can be implemented. Fuzzy control in engineering control terms such as linear, non-linear, adaptive control and stability is discussed in details. The authors have focused on easy illustrations, numerous examples and figures to help readers understand basic concepts with applications. The book is useful for graduate and post-graduate engineering students.

• • Exercises at the end of each chapter to help students.

Preface / Fuzzy Sets and Fuzzy Numbers / Fuzzy Relations and Fuzzy Logic / Fuzzy Systems and Fuzzy Models / Fuzzy Control / Fuzzy Knowledge Base Control (FKBC) / Adaptive Fuzzy Control / non-linear Fuzzy Control / Stability of Fuzzy Control System / Fuzzy Control System Models / Index.

Undergraduate Students, Professionals & Researchers