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Stable Adaptive Neural Network Control

Name: Stable Adaptive Neural Network Control
Brand: Springer, Berlin
SKU: 01397142
Price: 80725 HUF
Availability: InStock
Author: S.S. Ge
ISBN: 9780792375975

Language

English

Book Hardback

Libristo code: 01397142

Publishers Springer, Berlin, November 2000

While neural network control has been successfully applied in various practical applications, many i... Full description

Libristo code: 01397142

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While neural network control has been successfully applied in various practical applications, many important issues, such as stability, robustness, and performance, have not been extensively researched for neural adaptive systems. Motivated by the need for systematic neural control strategies for nonlinear systems, Stable Adaptive Neural Network Control offers an in-depth study of stable adaptive control designs using approximation-based techniques, and presents rigorous analysis for system stability and control performance. Both linearly parameterized and multi-layer neural networks (NN) are discussed and employed in the design of adaptive NN control systems for completeness. Stable adaptive NN control has been thoroughly investigated for several classes of nonlinear systems, including nonlinear systems in Brunovsky form, nonlinear systems in strict-feedback and pure-feedback forms, nonaffine nonlinear systems, and a class of MIMO nonlinear systems. In addition, the developed design methodologies are not only applied to typical example systems, but also to real application-oriented systems, such as the variable length pendulum system, the underactuated inverted pendulum system and nonaffine nonlinear chemical processes (CSTR).

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About the book

Full name Stable Adaptive Neural Network Control

Author S.S. Ge, C.C. Hang, T.H. Lee, Tao Zhang

Language

English

Binding Book - Hardback

Date of issue 2001

Number of pages 282

EAN 9780792375975

ISBN 0792375971

Libristo code 01397142

Publishers Springer, Berlin

Weight 603

Dimensions 155 x 235 x 22

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