The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This handbook is devoted to a presentation of fuzzy systems engineering methods. It 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 modelling 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; and fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modelling through the use of differential inclusions.