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.

Résumé
`Easy, delightful, and insightful....Ideal for those who desire a conceptual and experiential introduction to the area without the drudgery of plowing through complex mathematics.'
Choice (December 1997)

Contenu
I. Principles of Fuzzy Control.- 1. Introduction.- 2. Conventional Control.- 3. Fuzzy Control as Artificial Intelligence.- 4. Some Relevant Aspects of Fuzzy Set Theory.- 5. Classical Fuzzy Control Design and Implementation.- 6. Some Common Variations in Fuzzy Control Design Methods.- II. Case Study on the Utility of Dynamic Compensation in Fuzzy Control.- 7. Miniature Steam Engine as a Test Plant.- 8. Simulation Model of the Test Plant.- 9. Fuzzy Control Designs with Auto-Tuning and Various Forms of Dynamic Compensation.- 10. Final Test and Results.- 11. 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.- References.- About the Author.