Intelligent control : fuzzy logic applications
著者
書誌事項
Intelligent control : fuzzy logic applications
(Mechatronics series)
CRC Press, c1995
大学図書館所蔵 全11件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
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  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
CONVENTIONAL AND INTELLIGENT CONTROL Introduction Conventional Control Techniques Summary Problems References KNOWLEDGE REPRESENTATION AND PROCESSING Introduction Knowledge and Intelligence Logic Semantic Networks Frames Production Systems Summary Problems References FUNDAMENTALS OF FUZZY LOGIC Introduction Fuzzy Sets Fuzzy Logic Operations Some Definitions Fuzzy Relations Composition and Inference Membership Function Estimation Summary Problems References FUZZY LOGIC CONTROL Introduction Basics of Fuzzy Control Decision Making with Crisp Measurements Defuzzification Architectures of Fuzzy Control Summary Problems References KNOWLEDGE-BASED TUNING Introduction Theoretical Background Analytical Framework Computational Efficiency Dynamic Switching of Fuzzy Resolution Illustrative Example Summary Problems References 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 Summary Problems References SERVO MOTOR TUNING Introduction System Development Results Theory of Rule Base Decoupling Experimental Illustration Summary Problems References HIERARCHICAL FUZZY CONTROL Introduction General Concepts Hierarchical Model Effect of Information Processing Application in Process Control Summary Problems References INTELLIGENT RESTRUCTURING OF PRODUCTION SYSTEMS Introduction Theoretical Framework Implementation Using a Blackboard Architecture Case Study Summary Problems References FUTURE APPLICATIONS Introduction Intelligence in Automation Intelligent Multiagent Control Reconfigurable 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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