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Fuzzy Control
 
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Fuzzy Control (Hardcover)

by Kevin M. Passino (Author), Stephen Yurkovich (Author)
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Product Description

Product Description

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 approches, 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.



From the Back Cover

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)


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