Integration of Fuzzy Logic and Chaos Theory

  • Zhong Li
  • Wolfgang A. Halang
  • Guanrong Chen

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 187)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Peter Kloeden, Zhong Li
    Pages 1-23
  3. Domenico M. Porto
    Pages 25-44
  4. Hua O. Wang, Kazuo Tanaka
    Pages 45-80
  5. Oscar Calvo
    Pages 99-125
  6. Ahmad M. Harb, Issam Al-Smadi
    Pages 127-155
  7. Zhong Li, Guanrong Chen, Wolfgang A. Halang
    Pages 185-227
  8. Huaguang Zhang, Zhiliang Wang, Derong Liu
    Pages 229-257
  9. Juan Gonzalo Barajas-Ramírez
    Pages 259-283
  10. Federico Cuesta, Enrique Ponce, Javier Aracil
    Pages 285-315
  11. Patrick Grim
    Pages 317-359
  12. Alexander Sokolov, Michael Wagenknecht
    Pages 361-389
  13. Maide Bucolo, Luigi Fortuna, Manuela La Rosa
    Pages 415-437
  14. Keigo Watanabe, Lanka Udawatta, Kiyotaka Izumi
    Pages 481-506
  15. Chian-Song Chiu, Kuang-Yow Lian
    Pages 507-525
  16. Pavel Ošmera
    Pages 527-578

About this book


This book attempts to present some current research progress and results on the interplay of fuzzy logic and chaos theory. More specifically, this book includes a collection of some state-of-theart surveys, tutorials, and application examples written by some experts working in the interdisciplinary fields overlapping fuzzy logic and chaos theory. The content of the book covers fuzzy definition of chaos, fuzzy modeling and control of chaotic systems using both Mamdani and Takagi-Sugeno models, fuzzy model identification using genetic algorithms and neural network schemes, bifurcation phenomena and self-referencing in fuzzy systems, complex fuzzy systems and their collective behaviours, as well as some applications of combining fuzzy logic and chaotic dynamics, such as fuzzy-chaos hybrid controllers for nonlinear dynamic systems, and fuzzy-model-based chaotic cryptosystems. This book can serve as a handy reference for researchers working in interdisciplines related, among others, to both fuzzy logic and chaos theory.


algorithms chaos chaos theory control fuzzy fuzzy control fuzzy logic fuzzy system genetic algorithms intelligence logic model modeling simulation system modeling

Editors and affiliations

  • Zhong Li
    • 1
  • Wolfgang A. Halang
    • 1
  • Guanrong Chen
    • 2
  1. 1.FB ElektrotechnikFernUniversität in HagenHagenGermany
  2. 2.Department of Electronic EngineeringCity University of Hong KongKowloonPR China

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-26899-4
  • Online ISBN 978-3-540-32502-4
  • Series Print ISSN 1434-9922
  • Buy this book on publisher's site