Evolving Rule-Based Models

A Tool for Design of Flexible Adaptive Systems

  • Plamen P. Angelov

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 92)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Introduction

    1. Plamen P. Angelov
      Pages 1-9
  3. System Modelling: Basic Principles

    1. Front Matter
      Pages 11-11
    2. Plamen P. Angelov
      Pages 13-24
    3. Plamen P. Angelov
      Pages 25-42
  4. Flexible Models Identification

    1. Front Matter
      Pages 43-46
    2. Plamen P. Angelov
      Pages 79-85
  5. Engineering Applications

    1. Front Matter
      Pages 111-113
    2. Plamen P. Angelov
      Pages 115-167
    3. Plamen P. Angelov
      Pages 169-179
    4. Plamen P. Angelov
      Pages 181-192
    5. Plamen P. Angelov
      Pages 193-197
  6. Back Matter
    Pages 199-213

About this book


The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.


algorithms complex system complex systems decision support system fuzzy genetic algorithms model modeling system

Authors and affiliations

  • Plamen P. Angelov
    • 1
  1. 1.Department of Civil and Building EngineeringLoughborough UniversityLoughboroughUK

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2506-0
  • Online ISBN 978-3-7908-1794-2
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site