Fuzzy control has increased tremendous interest in applications over the past few years and also among control equipment. The present book titled βFuzzy Logic Models and Fuzzy Control: An Introductionβ has been written to meet these inspirations. It consists of total nine chapters: First three chapters are related to fuzzy set theory, fuzzy logic, fuzzy systems and models, while next six chapters deal with design and analysis methodology of fuzzy control. However, it should be clear that such a universal theory does not exist for conventional control engineering either, so we have to proceed from a few isolated spots where we already know exactly how to design a fuzzy control algorithm to clusters of problems and related design methodologies.
Thus, we have tried to structure this book to make it a text book for control engineering covering just the relevant part of the theory and focussing on the principles of fuzzy control rather than particular applications or tools. Starting with relevant mathematics including fuzzy set theory, fuzzy logic and models, we go to design parameters and choices and discuss fuzzy control in control engineering terms such as linear, non-linear, adaptive control and stability criteria.
The book explicitly aimed at readers from B. Tech./ M.Tech engineering students who want to study fuzzy control as elective course. It contains the following nine chapters: Chapter 1 Fuzzy Set and Fuzzy Numbers; Chapter 2 Fuzzy logic and Fuzzy Systems; Chapter 3 Fuzzy System Models; Chapter 4 Fuzzy Control; Chapter 5 Fuzzy Knowledge Base Control (KFBC);
Chapter 6 Adaptive Fuzzy Control; Chapter 7 Non-linear Fuzzy Control; Chapter-8 Stability of Fuzzy Control Systems, and Chaper 9 Fuzzy Control System Model.