Fuzzy control and modeling : analytical foundations and applications / Hao Ying ; [foreword by Lotfi A. Zadeh].

By:

Ying, Hao, 1958-

Contributor(s):

Material type: Text

TextSeries: IEEE Press series in biomedical engineering ; 29Publisher: New York : IEEE Press, c2000Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [2000]Description: 1 PDF (xxxii, 310 pages) : illustrationsContent type:

text

Media type:

electronic

Carrier type:

online resource

ISBN:

9780470544730

Subject(s): Genre/Form:

Electronic books.

Additional physical formats: Print version:: No titleDDC classification:

629.8

Online resources:

Abstract with links to resource

Also available in print.

Contents:

Foreword. Preface. Acknowledgments. List of Figures. Basic Fuzzy Mathematics for Fuzzy Control and Modeling. Introduction to Fuzzy Control and Modeling. Mamdani Fuzzy PID Controllers. Mamdani Fuzzy Controllers of Non-PID Type. TS Fuzzy Controllers with Linear Rule Consequent. Stability Analysis and Design of Mamdani and TS Fuzzy Control Systems. Mamdani and TS Fuzzy Systems as Functional Approximators. Real-Time Fuzzy Control of Biomedical Systems. Bibliography. Index. About the Author.

Summary: The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design. Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development. Important topics discussed include: . Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models. Analysis of fuzzy control and modeling in relation to their classical counterparts. Stability analysis of fuzzy systems and design of fuzzy control systems. Sufficient and necessary conditions on fuzzy systems as universal approximators. Real-time fuzzy control systems for treatment of life-critical problems in biomedicine Fuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling.

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"IEEE Engineering in Medicine and Biology Society, sponsor."

Includes bibliographical references (p. 291-304) and index.

Restricted to subscribers or individual electronic text purchasers.

The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design. Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development. Important topics discussed include: . Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models. Analysis of fuzzy control and modeling in relation to their classical counterparts. Stability analysis of fuzzy systems and design of fuzzy control systems. Sufficient and necessary conditions on fuzzy systems as universal approximators. Real-time fuzzy control systems for treatment of life-critical problems in biomedicine Fuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling.