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Fuzzy control and identification [electronic resource] / by John H. Lilly.

By: Material type: TextTextPublication details: Oxford : Wiley-Blackwell, 2010.Description: 1 online resourceISBN:
  • 9780470872710:
  • 9780470872710 (electronic bk.)
  • 0470872713 (electronic bk.)
  • 9780470874240 (electronic bk.)
  • 0470874244 (electronic bk.)
Subject(s): Genre/Form: Additional physical formats: Print version:: Fuzzy control and identificationDDC classification:
  • 629.8
LOC classification:
  • .L438 2010
Online resources:
Contents:
Introduction -- Basic concepts of fuzzy sets -- Mamdani fuzzy systems -- Fuzzy control with Mamdani systems -- Modeling and control methods useful for fuzzy control -- Takagi-Sugeno fuzzy systems -- Parallel distributed control with Takagi-Sugeno fuzzy systems -- Estimation of static nonlinear functions from data -- Modeling of dynamic plants as fuzzy systems -- Adaptive fuzzy control.
Summary: This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.
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IEEE ebook

IT Carlow ebook

Includes bibliographical references (p. 190-191) and index.

Introduction -- Basic concepts of fuzzy sets -- Mamdani fuzzy systems -- Fuzzy control with Mamdani systems -- Modeling and control methods useful for fuzzy control -- Takagi-Sugeno fuzzy systems -- Parallel distributed control with Takagi-Sugeno fuzzy systems -- Estimation of static nonlinear functions from data -- Modeling of dynamic plants as fuzzy systems -- Adaptive fuzzy control.

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.

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