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Evolutionary Learning Algorithms for Neural Adaptive Control

  • Textbook
  • © 1997

Overview

Authors:
  1. Dimitris C. Dracopoulos

    1. Department of Computer Science, Brunel University, Uxbridge, Middlesex, UK

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  • Unique selling points: - The book has been carefully written so that no prior knowledge of neural networks and genetic algorithms is needed - The author illustrates the basic principles of evolutionary learning algorithms by applying them to adaptive control problems - The book includes a chapter devoted to artificial neural networks, which is one of the most active areas of research at the moment

Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Dimitris C. Dracopoulos
    Pages 1-4

  3. Dynamic Systems and Control

    • Dimitris C. Dracopoulos
    Pages 5-21

  4. The Attitude Control Problem

    • Dimitris C. Dracopoulos
    Pages 23-46

  5. Artificial Neural Networks

    • Dimitris C. Dracopoulos
    Pages 47-70

  6. Neuromodels of Dynamic Systems

    • Dimitris C. Dracopoulos
    Pages 71-96

  7. Current Neurocontrol Techniques

    • Dimitris C. Dracopoulos
    Pages 97-109

  8. Genetic Algorithms

    • Dimitris C. Dracopoulos
    Pages 111-131

  9. Adaptive Control Architecture

    • Dimitris C. Dracopoulos
    Pages 133-163

  10. Conclusions and the Future

    • Dimitris C. Dracopoulos
    Pages 165-167

  11. Back Matter

    Pages 169-211
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Keywords

About this book

Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic algorithms can be applied to difficult adaptive control problems which conventional results are either unable to solve , or for which they can not provide satisfactory results. It focuses on the principles involved, rather than on the modelling of the applications themselves, and therefore provides the reader with a good introduction to the fundamental issues involved.

Authors and Affiliations

  • Department of Computer Science, Brunel University, Uxbridge, Middlesex, UK

    Dimitris C. Dracopoulos

Bibliographic Information

  • Book Title: Evolutionary Learning Algorithms for Neural Adaptive Control

  • Authors: Dimitris C. Dracopoulos

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-0903-7

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1997

  • Softcover ISBN: 978-3-540-76161-7Published: 15 August 1997

  • eBook ISBN: 978-1-4471-0903-7Published: 21 December 2013

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: XI, 211

  • Number of Illustrations: 14 b/w illustrations

  • Topics: Artificial Intelligence, Complexity

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