An Introduction to Fuzzy Control

Front Cover
Springer Science & Business Media, Jun 29, 2013 - Computers - 316 pages
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
 

Contents

Introduction
1
37
54
Completeness of a Set of Rules
98
103
181
Adaptive Fuzzy Control
197
3
206
Stability of Fuzzy Control Systems
245
References
291
Index
304
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