The Foundations of Fuzzy Control

by Harold W. Lewis

Overview

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.

Product Details

ISBN-13:	9780306454523
Publisher:	Springer US
Publication date:	04/30/1997
Series:	IFSR International Series in Systems Science and Systems Engineering , #10
Edition description:	1997
Pages:	300
Product dimensions:	6.14(w) x 9.21(h) x 0.24(d)

Table of Contents

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.

Editorial Reviews

‘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)

From the Publisher

A textbook for a semester course in any discipline that requires knowledge of complex systems. Assumes a previous course in discrete mathematics as generally taught in computer science and systems science programs, and at least some exposure to calculus. Offers an unconventional introduction to fuzzy control, drawing highly on information easily available only to readers of Japanese. Annotation c. by Book News, Inc., Portland, Or.

Booknews