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9780849316586

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

by ;
  • ISBN13:

    9780849316586

  • ISBN10:

    0849316588

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2000-11-27
  • Publisher: CRC Press

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Summary

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art" of building a working fuzzy controller has turned into today's "science" of systematic design. To keep pace with and further advance the rapidly developing field of applied control technologies, engineers, both present and future, need some systematic training in the analytic theory and rigorous design of fuzzy control systems. Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that training by introducing a rigorous and complete fundamental theory of fuzzy sets and fuzzy logic, and then building a practical theory for automatic control of uncertain and ill-modeled systems encountered in many engineering applications. The authors proceed through basic fuzzy mathematics and fuzzy systems theory and conclude with an exploration of some industrial application examples. Almost entirely self-contained, Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems establishes a strong foundation for designing and analyzing fuzzy control systems under uncertain and irregular conditions. Mastering its contents gives students a clear understanding of fuzzy control systems theory that prepares them for deeper and broader studies and for many practical challenges faced in modern industry.

Table of Contents

Fuzzy Set Theory
1(56)
Classical Set Theory
1(4)
Fundamental Concepts
1(2)
Elementary Measure Theory of Sets
3(2)
Fuzzy Set Theory
5(4)
Interval Arithmetic
9(28)
Fundamental Concepts
9(3)
Interval Arithmetic
12(1)
Algebraic Properties of Interval Arithmetic
13(4)
Measure Theory of Intervals
17(3)
Properties of the Width of an Interval
20(2)
Interval Evaluation
22(3)
Interval Matrix Operations
25(5)
Interval Matrix Equations and Interval Matrix Inversion
30(7)
Operations on Fuzzy Sets
37(20)
Fuzzy Subsets
37(5)
Fuzzy Numbers and Their Arithmetic
42(12)
Problems
54(2)
References
56(1)
Fuzzy Logic Theory
57(32)
Classical Logic Theory
58(4)
Fundamental Concepts
58(3)
Logical Functions of the Two-Valued Logic
61(1)
The Boolean Algebra
62(3)
Basic Operations of the Boolean Algebra
62(1)
Basic Properties of the Boolean Algebra
63(2)
Multi-Valued Logic
65(1)
Three-Valued Logic
65(1)
n-Valued Logic
65(1)
Fuzzy Logic and Approximate Reasoning
66(3)
Fuzzy Relations
69(6)
Fuzzy Logic Rule Base
75(14)
Fuzzy IF-THEN Rules
75(2)
Fuzzy Logic Rule Base
77(3)
Interpretation of Fuzzy IF-THEN Rules
80(2)
Evaluation of Fuzzy IF-THEN Rules
82(2)
Problems
84(3)
References
87(2)
Fuzzy System Modeling
89(50)
Modeling of Static Fuzzy Systems
90(12)
Fuzzy Logic Description of Input-Output Relations
90(6)
Parameters Identification in Static Fuzzy Modeling
96(6)
Discrete-Time Dynamic Fuzzy Systems and Their Stability Analysis
102(12)
Dynamic Fuzzy Systems without Control
103(6)
Dynamic Fuzzy Systems with Control
109(5)
Modeling of Continuous-Time Dynamic Fuzzy Control Systems
114(10)
Fuzzy Interval Partitioning
115(4)
Dynamic Fuzzy System Modeling
119(5)
Stability Analysis of Continuous-Time Dynamic Fuzzy Systems
124(5)
Controllability Analysis of Continuous-Time Dynamic Fuzzy Systems
129(4)
Analysis of Nonlinear Continuous-Time Dynamic Fuzzy Systems
133(6)
Problems
136(2)
References
138(1)
Fuzzy Control Systems
139(44)
Classical Programmable Logic Control
140(5)
Fuzzy Logic Control (I): A General Model-Free Approach
145(25)
A Closed-Loop Set-Point Tracking System
147(3)
Design Principle of Fuzzy Logic Controllers
150(10)
Examples of Model-Free Fuzzy Controller Design
160(10)
Fuzzy Logic Control (II): A General Model-Based Approach
170(13)
Problems
178(4)
References
182(1)
Fuzzy PID Controllers
183(56)
Conventional PID Controllers: Design
183(9)
Fuzzy PID Controllers Design
192(31)
Fuzzy PD Controller
193(14)
Fuzzy PI Controller
207(2)
Fuzzy PI+D Controller
209(14)
Fuzzy PID Controllers: Stability Analysis
223(16)
BIBO Stability and the Small Gain Theorem
223(3)
BIBO Stability of Fuzzy PD Control Systems
226(3)
BIBO Stability of Fuzzy PI Control Systems
229(2)
BIBO Stability of Fuzzy PI+D Control Systems
231(1)
Graphical Stability Analysis of Fuzzy PID Control Systems
232(4)
Problems
236(1)
References
237(2)
Adaptive Fuzzy Control
239(32)
Fundamental Adaptive Fuzzy Control Concept
240(6)
Operational Concepts
240(2)
System Parameterization
242(1)
Adjusting Mechanism
243(2)
Guidelines for Selecting an Adaptive Fuzzy Controller
245(1)
Gain Scheduling
246(6)
Fuzzy Self-Tuning Regulator
252(3)
Model Reference Adaptive Fuzzy Systems
255(2)
Dual Control
257(1)
Sub-Optimal Fuzzy Control
258(13)
SISO Control Systems
259(1)
MIMO Control Systems
260(6)
Problems
266(3)
References
269(2)
Some Applications of Fuzzy Control
271(44)
Health Monitoring Fuzzy Diagnostic Systems
271(10)
Fuzzy Rule-Based Health Monitoring Expert Systems
272(4)
Computer Simulations
276(1)
Numerical Results
277(4)
Fuzzy Control of Image Sharpness for Autofocus Cameras
281(10)
Basic Image Processing Techniques
282(1)
Fuzzy Control Model
283(3)
Computer Simulation Results
286(5)
Fuzzy Control for Servo Mechanic Systems
291(9)
Fuzzy Modeling of a Servo Mechanic System
292(2)
Fuzzy Controller of a Servo Mechanic System
294(1)
Computer Simulations and Numerical Results
295(5)
Fuzzy PID Controllers for Servo Mechanic Systems
300(2)
Fuzzy PID Controller of a Servo Mechanic System
300(1)
Adaptive Fuzzy Controller of a Servo Mechanic System
301(1)
Fuzzy Controller for Robotic Manipulator
302(13)
Fuzzy Modeling of a 2-Link Planar Manipulator
304(3)
Fuzzy Controller of a 2-Link Planar Manipulator
307(1)
Numerical Simulations
307(4)
Problems
311(2)
References
313(2)
Index 315

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