Fuzzy Control - Hardcover

Über die Autorin bzw. den Autor

Stephen Yurkovich holds the rank of Professor of Electrical Engineering atThe Ohio State University. In addition to being General Chair for the 1996 IEEE Conference on Control Applications, Program Chair for the 1997 American Control Conference, and General Chair for the 1999 American Control Conference, he has held numerous positions within the IEEE Control Systems Society: an elected member of the Board of Governors (1994-1996), Vice President for Publication Activities (1995-1996), Vice President for Financial Activities (1997), President-Elect in 1998, and in 1999 will serve as President. He has been Editor-in-chief of IEEE Control Systems since 1993, and is a Senior Member of IEEE. Professor Yurkovich's research has focused on the theory and applications of control technology, in the areas of system identification and parameter set estimation for control, and fuzzy logic for control, in application areas including flexible mechanical structures, industrial control systems, and automotive systems. He has authored the book Control Systems Laboratory (1992, Kendall/Hunt).

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Written by two authors who have been involved in creating theoretical foundations for the field, who have helped assess the value of this new technology relative to conventional approaches, and who have worked extensively with industry on implementations, Fuzzy Control is filled with a wealth of examples and case studies. The case studies demonstrate design and implementation techniques for a variety of applications including automotive systems, robotics, and aircraft.

FEATURES/BENEFITS

• The book contains a tutorial introduction to fuzzy control.
• A number of techniques commonly found in the industry are also provided, such as fuzzy estimation methods, adaptive methods, fuzzy supervisory control, and intelligent control methods.
• Computer code can be downloaded for solving the book's examples and problems and can be easily modified to implement the reader's own fuzzy controllers or estimators.

Back Cover

The book contains:

• A tutorial introduction to fuzzy control
• Design and implementation case studies for automotive systems, robotics, aircraft, and others
• Nonlinear analysis of fuzzy control systems (e.g., stability analysis)
• Fuzzy estimation methods that are useful in signal processing and control
• Adaptive methods for automatic synthesis and tuning of fuzzy controllers
• Fuzzy supervisory control techniques that are increasingly finding use in industry
• Intelligent control methods (e.g., neural networks, genetic algorithms)