Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems - Hardcover

Chen, Guanrong; Pham, Trung Tat

Hardcover

ISBN 10: 0849316588 ISBN 13: 9780849316586

Publisher: CRC Press, 2000

Synopsis

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art" of building a working fuzzy controller has turned into today's "science" of systematic design. To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.

About this title

About the Author

Chen, Guanrong; Pham, Trung Tat

Edition details

• Publisher: CRC Press
• Publication date: 2000
• Language: English
• ISBN 10: 0849316588
• ISBN 13: 9780849316586
• Binding: Hardcover
• Edition number: 1
• Number of pages: 328