β Scribed by Prof. Dr. Dimiter Driankov, Dr. Hans Hellendoorn, Dr. Michael Reinfrank (auth.)
No coin nor oath required. For personal study only.
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.
Front Matter....Pages I-XV
Introduction....Pages 1-36
The Mathematics of Fuzzy Control....Pages 37-102
FKBC Design Parameters....Pages 103-144
Nonlinear Fuzzy Control....Pages 145-195
Adaptive Fuzzy Control....Pages 197-244
Stability of Fuzzy Control Systems....Pages 245-292
Back Matter....Pages 293-316
Artificial Intelligence (incl. Robotics);Complexity;Control, Robotics, Mechatronics
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