Fuzzy Control and Identification [Hardcover]

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.

PREFACE.

CHAPTER 1 INTRODUCTION.

1.1 Fuzzy Systems.

1.2 Expert Knowledge.

1.3 When and When Not to Use Fuzzy Control.

1.4 Control.

1.5 Interconnection of Several Subsystems.

1.6 Identification and Adaptive Control.

1.7 Summary.

Exercises.

CHAPTER 2 BASIC CONCEPTS OF FUZZY SETS.

2.1 Fuzzy Sets.

2.2 Useful Concepts for Fuzzy Sets.

2.3 Some Set Theoretic and Logical Operations on Fuzzy Sets.

2.4 Example.

2.5 Singleton Fuzzy Sets.

2.6 Summary.

Exercises.

CHAPTER 3 MAMDANI FUZZY SYSTEMS.

3.1 If-Then Rules and Rule Base.

3.2 Fuzzy Systems.

3.3 Fuzzification.

3.4 Inference.

3.5 Defuzzification.

3.5.1 Center of Gravity (COG) Defuzzification.

3.5.2 Center Average (CA) Defuzzification.

3.6 Example: Fuzzy System for Wind Chill.

3.6.1 Wind Chill Calculation, Minimum T-Norm, COG Defuzzification.

3.6.2 Wind Chill Calló