This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models.
Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.
Table of Contents
CHAPTER 1 INTRODUCTION.
CHAPTER 2 BASIC CONCEPTS OF FUZZY SETS.
CHAPTER 3 MAMDANI FUZZY SYSTEMS.
CHAPTER 4 FUZZY CONTROL WITH MAMDANI SYSTEMS.
CHAPTER 5 MODELING AND CONTROL METHODS USEFUL FOR FUZZY CONTROL.
CHAPTER 6 TAKAGI–SUGENO FUZZY SYSTEMS.
CHAPTER 7 PARALLEL DISTRIBUTED CONTROL WITH TAKAGI–SUGENO FUZZY SYSTEMS.
CHAPTER 8 ESTIMATION OF STATIC NONLINEAR FUNCTIONS FROM DATA.
CHAPTER 9 MODELING OF DYNAMIC PLANTS AS FUZZY SYSTEMS.
CHAPTER 10 ADAPTIVE FUZZY CONTROL.
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