Stable Adaptive Neural Network Control
Author:   S.S. Ge ,  C.C. Hang ,  T.H. Lee ,  Tao Zhang
Publisher:   Springer
Edition:   2002 ed.
Volume:   13
ISBN:  

9780792375975


Pages:   282
Publication Date:   30 November 2001
Format:   Hardback
Availability:   In Print   Availability explained
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Stable Adaptive Neural Network Control


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Overview

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. This text offers a study of stable adaptive control designs using approximation-based techniques, and presents 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. 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).

Full Product Details

Author:   S.S. Ge ,  C.C. Hang ,  T.H. Lee ,  Tao Zhang
Publisher:   Springer
Imprint:   Springer
Edition:   2002 ed.
Volume:   13
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   1.330kg
ISBN:  

9780792375975


ISBN 10:   0792375971
Pages:   282
Publication Date:   30 November 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Introduction.- 2 Mathematical Preliminaries.- 3 Neural Networks and Function Approximation.- 4 SISO Nonlinear Systems.- 5 ILF for Adaptive Control.- 6 Non-affine Nonlinear Systems.- 7 Triangular Nonlinear Systems.- 8 Conclusion.- References.

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