Fuzzy Systems : Modeling and Control. Questo articolo non è disponibile.Fuzzy Systems : Modeling and Control

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.

Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. 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.

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.