The Foundations of Fuzzy Control

Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new viewpoint on why fuzzy control is more popular in some countries than in others. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.

Contenu

Principles of Fuzzy Control. Introduction. Conventional Control. Fuzzy Control as Artificial Intelligence. Some Relevant Aspects of Fuzzy Set Theory. Classical Fuzzy Control Design and Implementation. Some Common Variations in Fuzzy Control Design Methods. Case Study on the Utility of Dynamic Compensation in Fuzzy Control. Miniature Steam Engine as a Test Plant. Simulation Model of the Test Plant. Fuzzy Control Designs with Auto-Tuning and Various Forms of Dynamic Compensation. Final Test and Results. Conclusions and Prospects. Appendix A: Concerning Definitions of Artificial Intelligence. Appendix B: Sample Pascal Program Illustrating Fuzzy Inference Algorithms by a Simple Example with Three Inputs and Two Outputs. Appendix C: Symbols and Acronyms. Index.