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Neuro-Control and its Applications

  • Sigeru Omatu
  • Marzuki Khalid
  • Rubiyah Yusof

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

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Sigeru Omatu, Marzuki Khalid, Rubiyah Yusof
    Pages 1-6
  3. Sigeru Omatu, Marzuki Khalid, Rubiyah Yusof
    Pages 7-27
  4. Sigeru Omatu, Marzuki Khalid, Rubiyah Yusof
    Pages 29-83
  5. Sigeru Omatu, Marzuki Khalid, Rubiyah Yusof
    Pages 85-170
  6. Sigeru Omatu, Marzuki Khalid, Rubiyah Yusof
    Pages 171-243
  7. Back Matter
    Pages 245-255

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 advance 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. Sigeru Omatu, Marzuki Khalid, and Rubiyah Yusof have pursued the new developments of fuzzy logic and neural networks to present a series volume on neuro-control methods. As they demonstrate in the opening pages of their book, there is an explosion of interest in this field. Publication and patent activity in these areas are ever growing according to international is timely. databases and hence, this volume The presentation of the material follows a complementary pattern. Reviews of existing control techniques are given along side an exposition of the theoretical constructions of fuzzy logic controllers, and controllers based on neural networks. This is an extremely useful methodology which yields rewards in the applications chapters. The series of applications includes one very thorough experimental sequence for the control of a hot-water bath.

Keywords

control control system fuzzy logic fuzzy set fuzzy system intelligent control neural networks nonlinear control optimal control optimization pid control pid controller real-time control simulation stabilization

Authors and affiliations

  • Sigeru Omatu
    • 1
  • Marzuki Khalid
    • 2
  • Rubiyah Yusof
    • 2
  1. 1.Department of Computer and Systems Sciences, College of EngineeringOsaka Prefecture UniversitySakai, Osaka 593Japan
  2. 2.Business and Advanced Technology CentreUniversiti Teknologi MalaysiaKuala LumpurMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3058-1
  • Copyright Information Springer-Verlag London 1996
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-3060-4
  • Online ISBN 978-1-4471-3058-1
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site