Uses simplified mathematics throughout text for easier understanding; advanced mathematics and associated terms appear in appendices and research-oriented sections
Explains complex concepts using numerous graphic illustrations
Includes case studies and an abundance of worked examples and exercises
The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic-Intelligent Control provides it.
The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method. He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail a hierarchical control structure appropriate for use in intelligent control systems. He introduces a variety of applications, most in the areas of robotics and mechatronics but with others including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic, another describes a commercially available software system for developing fuzzy logic application.
Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.
Preface
The Author
Acknowledgments
Chapter 1 : Conventional and Intelligent Control
Chapter 2 : Knowledge Representation and Processing
Chapter 3 : Fundamentals of Fuzzy Logic
Chapter 4 : Fuzzy Logic Control
Chapter 5 : Knowledge-Based Tuning
Chapter 6 : Knowledge-Based Control of Robots
Chapter 7 : Servo Motor Tuning
Chapter 8 : Hierarchical Fuzzy Control
Chapter 9 : Intelligent Restructuring of Production Systems
Chapter 10 : Future Applications
Appendix A : Further Topics on Fuzzy Logic
Appendix B : Software Tools for Fuzzy Logic Applications
Index
