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Neural Network Engineering in Dynamic Control Systems

  • Kenneth J. Hunt
  • George R. Irwin
  • Kevin Warwick

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Rafał Żbikowski, Andrzej Dzieliński
    Pages 1-25
  3. Kevin Warwick, Chandrasekhar Kambhampati, Patrick Parks, Julian Mason
    Pages 27-41
  4. Roderick Murray-Smith, Kenneth Hunt
    Pages 61-82
  5. H. Tolle, S. Gehlen, M. Schmitt
    Pages 127-152
  6. K. M. Bossley, D. J. Mills, M. Brown, C. J. Harris
    Pages 153-177
  7. Seán McLoone, George Irwin
    Pages 179-200
  8. Olivier Dubois, Jean-Louis Nicolas, Alain Billat
    Pages 239-254
  9. Theresa W. Long, Emil L. Hanzevack
    Pages 255-275
  10. Back Matter
    Pages 277-278

About this book

Introduction

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera­ ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.

Keywords

algorithms architecture control control system control systems learning systems model modeling neural networks

Editors and affiliations

  • Kenneth J. Hunt
    • 1
  • George R. Irwin
    • 2
  • Kevin Warwick
    • 3
  1. 1.Daimler-Benz AGBerlinGermany
  2. 2.Department of Electrical and Electronic EngineeringQueen’s University of BelfastBelfastUK
  3. 3.Department of Cybernetics, School of Engineering and Information SciencesUniversity of ReadingReadingUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3066-6
  • Copyright Information Springer-Verlag London 1995
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-3068-0
  • Online ISBN 978-1-4471-3066-6
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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