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Description:
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Introduction to Fuzzy Control Systems<br />
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To keep pace with and further advance the rapidly developing field of applied <br />
control technologies, engineers, both present and future, need some systematic <br />
training in the analytic theory and rigorous design of fuzzy control systems. <br />
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems provides that <br />
training by introducing a rigorous and complete fundamental theory of fuzzy sets <br />
and fuzzy logic and then building a practical theory for automatic control of <br />
uncertain and ill-modeled systems encountered in many engineering applications. <br />
The authors proceed through basic fuzzy mathematics and fuzzy systems theory and <br />
conclude with an exploration of some industrial application examples.<br />
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Table of Contents<br />
1. Fuzzy Set Theory 1<br />
I. Classical Set Theory 1<br />
A. Fundamental Concepts 1<br />
B. Elementary Measure Theory of Sets 3<br />
II. Fuzzy Set Theory 5<br />
III. Interval Arithmetic 9<br />
A. Fundamental Concepts 9<br />
B. Interval Arithmetic 12<br />
C. Algebraic Properties of Interval Arithmetic 13<br />
D. Measure Theory of Intervals 17<br />
E. Properties of the Width of an Interval 20<br />
F. Interval Evaluation 22<br />
G. Interval Matrix Operations 25<br />
H. Interval Matrix Equations and Interval Matrix Inversion 30<br />
IV. Operations on Fuzzy Sets 37<br />
A. Fuzzy Subsets 37<br />
B. Fuzzy Numbers and Their Arithmetic 42<br />
Problems 54<br />
References 56<br />
2. Fuzzy Logic Theory 57<br />
I. Classical Logic Theory 58<br />
A. Fundamental Concepts 58<br />
B. Logical Functions of the Two-Valued Logic 61<br />
II. The Boolean Algebra 62<br />
A. Basic Operations of the Boolean Algebra 62<br />
B. Basic Properties of the Boolean Algebra 63<br />
III. Multi-Valued Logic 65<br />
A. Three-Valued Logic 65<br />
B. n-Valued Logic 65<br />
IV. Fuzzy Logic and Approximate Reasoning 66<br />
V. Fuzzy Relations 69<br />
VI. Fuzzy Logic Rule Base 75<br />
A. Fuzzy IF-THEN Rules 75<br />
B. Fuzzy Logic Rule Base 77<br />
C. Interpretation of Fuzzy IF-THEN Rules 80<br />
D. Evaluation of Fuzzy IF-THEN Rules 82<br />
Problems 84<br />
References 87<br />
3. Fuzzy System Modeling 89<br />
I. Modeling of Static Fuzzy Systems 90<br />
A. Fuzzy Logic Description of Input-Output Relations 90<br />
B. Parameters Identification in Static Fuzzy Modeling 96<br />
II. Discrete-Time Dynamic Fuzzy Systems and Their Stability Analysis <br />
102<br />
A. Dynamic Fuzzy Systems without Control 103<br />
B. Dynamic Fuzzy Systems with Control 109<br />
III. Modeling of Continuous-Time Dynamic Fuzzy Control Systems 114<br />
A. Fuzzy Interval Partitioning 115<br />
B. Dynamic Fuzzy System Modeling 119<br />
IV. Stability Analysis of Continuous-Time Dynamic Fuzzy Systems 124<br />
V. Controllability Analysis of Continuous-Time Dynamic Fuzzy Systems <br />
129<br />
VI. Analysis of Nonlinear Continuous-Time Dynamic Fuzzy Systems 133<br />
Problems 136<br />
References 138<br />
4. Fuzzy Control Systems 139<br />
I. Classical Programmable Logic Control 140<br />
II. Fuzzy Logic Control (I): A General Model-Free Approach 145<br />
A. A Closed-Loop Set-Point Tracking System 147<br />
B. Design Principle of Fuzzy Logic Controllers 150<br />
C. Examples of Model-Free Fuzzy Controller Design 160<br />
III. Fuzzy Logic Control (II): A General Model-Based Approach 170<br />
Problems 178<br />
References 182<br />
5. Fuzzy PID Controllers 183<br />
I. Conventional PID Controllers: Design 183<br />
II. Fuzzy PID Controllers Design 192<br />
A. Fuzzy PD Controller 193<br />
B. Fuzzy PI Controller 207<br />
C. Fuzzy PI+D Controller 209<br />
III. Fuzzy PID Controllers: Stability Analysis 223<br />
A. BIBO Stability and the Small Gain Theorem 223<br />
B. BIBO Stability of Fuzzy PD Control Systems 226<br />
C. BIBO Stability of Fuzzy PI Control Systems 229<br />
D. BIBO Stability of Fuzzy PI+D Control Systems 231<br />
E. Graphical Stability Analysis of Fuzzy PID Control Systems 232<br />
Problems 236<br />
References 237<br />
6. Adaptive Fuzzy Control 239<br />
I. Fundamental Adaptive Fuzzy Control Concept 240<br />
A. Operational Concepts 240<br />
B. System Parameterization 242<br />
C. Adjusting Mechanism 243<br />
D. Guidelines for Selecting an Adaptive Fuzzy Controller 245<br />
II. Gain Scheduling 246<br />
III. Fuzzy Self-Tuning Regulator 252<br />
IV. Model Reference Adaptive Fuzzy Systems 255<br />
V. Dual Control 257<br />
VI. Sub-Optimal Fuzzy Control 258<br />
A. SISO Control Systems 259<br />
B. MIMO Control Systems 260<br />
Problems 266<br />
References 269<br />
7. Some Applications of Fuzzy Control 271<br />
I. Health Monitioring Fuzzy Diagnostic Systems 271<br />
A. Fuzzy Rule-Based Health Monitoring Expert Systems 272<br />
B. Computer Simulations 276<br />
C. Numerical Results 277<br />
II. Fuzzy Control of Image Sharpness for Autofocus Cameras 281<br />
A. Basic Image Processing Techniques 282<br />
B. Fuzzy Control Model 283<br />
C. Computer Simulation Results 286<br />
III. Fuzzy Control for Servo Mechanic Systems 291<br />
A. Fuzzy Modeling of a Servo Mechanic System 292<br />
B. Fuzzy Controller of a Servo Mechanic System 294<br />
C. Computer Simulations and Numerical Results 295<br />
IV. Fuzzy PID Controllers for Servo Mechanic Systems 300<br />
A. Fuzzy PID Controller of a Servo Mechanic System 300<br />
B. Adaptive Fuzzy Controller of a Servo Mechanic System 301<br />
V. Fuzzy Controller for Robotic Manipulator 302<br />
A. Fuzzy Modeling of a 2-Link Planar Manipulator 304<br />
B. Fuzzy Controller of a 2-Link Planar Manipulator 307<br />
C. Numerical Simulations 307<br />
Problems 311<br />
References 313<br />
Index 315<br />
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Product Details<br />
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* ISBN: 0849316588<br />
* ISBN-13: 9780849316586<br />
* Format: Hardcover, 328pp<br />
* Publisher: CRC Press<br />
* Pub. Date: November 2000<br />
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