MTU Library Catalogue

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Adaptive fuzzy systems and control : design and stability analysis / Li-Xin Wang.

By: Wang, Li-Xin, 1962-.
Material type: materialTypeLabelBookPublisher: Englewood Cliffs, NJ : PTR Prentice Hall, 1994Description: xvii, 232 p. : ill. ; 24 cm.ISBN: 0130996319.Subject(s): Adaptive control systems | Fuzzy systemsDDC classification: 629.836
Contents:
Introduction -- Part I: Analysis and design of adaptive fuzzy systems -- Description and analysis of fuzzy logic systems -- Training of fuzzy logic systems using back-propagation -- Training of fuzzy logic systems using orthogonal least squares -- Training of fuzzy logic systems using a table-lookup scheme -- Training of fuzzy logic systems using nearest neighborhood clustering -- Comparison of adaptive fuzzy systems with artificial neural networks -- Part I: Adaptive fuzzy control and filtering -- Stable indirect adaptive fuzzy control of nonlinear systems -- Stable direct adaptive fuzzy control of nonlinear systems -- Design of adaptive fuzzy controllers using input-output linearization concept -- Design and stability analysis of fuzzy identfiiers of nonlinear dynamic systems -- Fuzzy adaptive filters -- Conclusions.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 629.836 (Browse shelf(Opens below)) 1 Available 00017636
Total holds: 0

Enhanced descriptions from Syndetics:

This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.

Includes bibliographical references (pages 221-227) and index.

Introduction -- Part I: Analysis and design of adaptive fuzzy systems -- Description and analysis of fuzzy logic systems -- Training of fuzzy logic systems using back-propagation -- Training of fuzzy logic systems using orthogonal least squares -- Training of fuzzy logic systems using a table-lookup scheme -- Training of fuzzy logic systems using nearest neighborhood clustering -- Comparison of adaptive fuzzy systems with artificial neural networks -- Part I: Adaptive fuzzy control and filtering -- Stable indirect adaptive fuzzy control of nonlinear systems -- Stable direct adaptive fuzzy control of nonlinear systems -- Design of adaptive fuzzy controllers using input-output linearization concept -- Design and stability analysis of fuzzy identfiiers of nonlinear dynamic systems -- Fuzzy adaptive filters -- Conclusions.