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.