Conclusions and Prospects

Abstract

Throughout this book we considered how a conceptual, and in some ways unorthodox, study of conventional control theory, AI, and fuzzy set theory leads to an unusually clear understanding of the basic concepts of fuzzy control. We also saw that further study in applied neural and genetics methods can lead to important refinements in the fuzzy control-design process. In Part II we provided a detailed example of how all of these concepts can work together in a practical design process, and at the same time we provided evidence concerning the general question of how important dynamic compensation is in fuzzy control. All along we provided a clear rationale for fuzzy control in general and for our own approach in particular.