مشخصات کتاب

Intelligent Control : Fuzzy Logic Applications

ویرایش:  
نویسندگان: Clarence W. De Silva  
سری: Mechatronics 
ISBN (شابک) : 9780849379826, 1351437690 
ناشر: Chapman and Hall/CRC 
سال نشر: 2018 
تعداد صفحات: 361 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 18 مگابایت 

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توضیحاتی درمورد کتاب به خارجی

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.

فهرست مطالب

Content: Cover
 Title Page
 Copyright Page
 PREFACE
 ACKNOWLEDGMENTS
 Table of Contens
 1: Conventional and Intelligent Control
 Introduction
 Conventional Control Techniques
 Summary
 Problems
 References
 2: Knowledge Representation and Processing
 Introduction
 Knowledge and Intelligence
 Logic
 Semantic Networks
 Frames
 Production Systems
 Summary
 Problems
 References
 3: Fundamentals of Fuzzy Logic
 Introduction
 Fuzzy Sets
 Fuzzy Logic Operations
 Some Definitions
 Fuzzy Relations
 Composition and Inference
 Membership Function Estimation
 Summary
 Problems
 References
 4: Fuzzy Logic Control IntroductionBasics of Fuzzy Control
 Decision Making with Crisp Measurements
 Defuzzification
 Architectures of Fuzzy Control
 Summary
 Problems
 References
 5: Knowledge-Based Tuning
 Introduction
 Theoretical Background
 Analytical Framework
 Computational Efficiency
 Dynamic Switching of Fuzzy Resolution
 Illustrative Example
 Summary
 Problems
 References
 6: Knowledge-Based Control of Robots
 Introduction
 Robotic Control System
 Application to Robots
 In-Loop Direct Control
 High-Level Fuzzy Control
 Control Hierarchy
 System Development
 Servo Expert Development
 Problems
 Summary Intelligent Multiagent ControlReconfigurable Autonomous Manipulators
 Intelligent Fusion of Sensors and Actuators
 Mechatronics Era
 Conclusion
 Problems
 References
 Appendix A: Further Topics on Fuzzy Logic
 Appendix B: Software Tools for Fuzzy Logic Applications
 Index

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