Sugeno | Fuzzy Systems | E-Book | sack.de
E-Book

E-Book, Englisch, Band 2, 519 Seiten, eBook

Reihe: The Handbooks of Fuzzy Sets

Sugeno Fuzzy Systems

Modeling and Control
1998
ISBN: 978-1-4615-5505-6
Verlag: Springer US
Format: PDF
 Kopierschutz: 1 - PDF Watermark

Modeling and Control

E-Book, Englisch, Band 2, 519 Seiten, eBook

Reihe: The Handbooks of Fuzzy Sets

ISBN: 978-1-4615-5505-6
Verlag: Springer US
Format: PDF
 Kopierschutz: 1 - PDF Watermark

The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous.
This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as:
  • Use of fuzzy logic in various control systems.
  • Fuzzy rule-based modeling and its universal approximation properties.
  • Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms.
  • Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control.
  • Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions.

is part of . The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
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Zielgruppe

Research

Autoren/Hrsg.

Sugeno, Michio

Weitere Infos & Material

Introduction: The Real Contribution of Fuzzy Systems; D. Dubois, et al. 1. Methodology of Fuzzy Control; H.T. Nguyen, V. Kreinovich. 2. Introduction to Fuzzy Modeling; K. Tanaka, M. Sugeno. 3. Fuzzy Rule-Based Models and Approximate Reasoning; R.R. Yager, D.P. Filev. 4. Fuzzy Rule Based Modeling as a Universal Approximation Tool; V. Kreinovich, et al. 5. Fuzzy and Linear Controllers; L. Foulloy, S. Galichet. 6. Designs of Fuzzy Controllers; R. Palm. 7. Stability of Fuzzy Controllers; K. Tanaka. 8. Learning and Tuning of Fuzzy Rules; H.R. Berenji. 9. Neurofuzzy Systems; W. Pedrycz, et al. 10. Neural Networks and Fuzzy Logic; N.R. Prasad. 11. Fuzzy Genetic Algorithsm; A. Geyer-Schulz. 12. Fuzzy Systems, Viability Theory and Toll Sets; J.P. Aubin, O. Dordan. 13. Chaos and Fuzzy Systems; P. Diamond. Index.

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