Fuzzy Control and Identification

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9780470542774: Fuzzy Control and Identification
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This book gives an introduction to basic fuzzy logic and Mamdaniand Takagi-Sugeno fuzzy systems. The text shows howthese can be used to control complex nonlinear engineering systems,while also also suggesting several approaches to modelingof complex engineering systems with unknown models.

Finally, fuzzy modeling and control methods are combined in thebook, to create adaptive fuzzy controllers, ending withan example of an obstacle-avoidance controller for an autonomousvehicle using modus ponendo tollens logic.

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From the Back Cover:

A comprehensive introduction to fuzzy control andidentification, covering both Mamdani and Takagi-Sugeno fuzzysystems

A fuzzy control system is a control system based on fuzzy logic,which is a mathematical system that makes decisions using humanreasoning processes. This book presents an introductory-levelexposure to two of the principal uses for fuzzylogic—identification and control. Drawn from the author'slectures presented in a graduate-level course over the past decade,this volume serves as a holistically suitable single text for afuzzy control course, compiling the information often found inseveral different books on the subject into one.

Starting with explanations of fuzzy logic, fuzzy control, andadaptive fuzzy control, the book introduces the concept of expertknowledge, which is the basis for much of fuzzy control. Fromthere, the author covers:

  • Basic concepts of fuzzy sets such as membership functions,universe of discourse, linguistic variables, linguistic values,support, a-cut, and convexity

  • Both Mamdani and Takagi-Sugeno fuzzy systems, showing how aneffective controller can be designed for many complex nonlinearsystems without mathematical models or knowledge of control theorywhile also suggesting several approaches to modeling of complexengineering systems with unknown models

  • How PID controllers can be made fuzzy and why this is useful

  • Position-form and incremental-form fuzzy controllers

  • How nonlinear systems can be modeled as fuzzy systems in severalforms

  • How fuzzy tracking control and model reference control can berealized for nonlinear systems using parallel distributedtechniques

  • The estimation of nonlinear systems using the batch leastsquares, recursive least squares, and gradient methods

  • The creation of direct and indirect adaptive fuzzycontrollers

Also included are many examples, exercises, and computer programlistings, all class-tested. Fuzzy Control and Identificationis intended for seniors and first-year graduate students, and issuitable for any engineering department. No knowledge specific toany particular branch of engineering is required, and no knowledgeof electrical, chemical, or mechanical systems is necessary to readand understand the material.

About the Author:

John H. Lilly, PhD, is a professor in the Speed School of Engineering at the University of Louisville. His research interests are nonlinear and adaptive control, fuzzy identification and control, positive/negative fuzzy systems, pneumatic muscle actuators, and robotics. In addition to his twenty-eight years of teaching experience, Dr. Lilly has written more than fifty refereed journal and conference articles, book chapters, invited scholarly lectures, and seminars.

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Book Description John Wiley and Sons Ltd, United States, 2011. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. 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. Seller Inventory # AAH9780470542774

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Book Description John Wiley and Sons Ltd, United States, 2010. Hardback. Condition: New. 1. Auflage. Language: English . Brand New Book. 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. Seller Inventory # AAH9780470542774

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