Fuzzy Control of Industrial Systems: Theory and Applications
Author:   Ian S. Shaw
Publisher:   Springer
Edition:   1998 ed.
Volume:   457
ISBN:  

9780792382492


Pages:   192
Publication Date:   31 August 1998
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Control of Industrial Systems: Theory and Applications


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Overview

This text presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system. Included are generic aspects of fuzzy systems with an emphasis on the many degrees of freedom and its practical design implications, modelling and systems identification techniques based on fuzzy rules, parametrized rules and relational equations, and the principles of adaptive fuzzy and neurofuzzy systems. Practical design aspects of fuzzy controllers are covered by the detailed treatment of fuzzy and neurofuzzy software design tools with an emphasis on iterative fuzzy tuning, while novel stability limit testing methods and the definition and practical examples of the new concept of collaborative control systems are also given.

Full Product Details

Author:   Ian S. Shaw
Publisher:   Springer
Imprint:   Springer
Edition:   1998 ed.
Volume:   457
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   1.100kg
ISBN:  

9780792382492


ISBN 10:   0792382498
Pages:   192
Publication Date:   31 August 1998
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Notes to Instructors. Figures. Tables. 1. What is an Intelligent System? 2. Modeling Plants and Processes of Control Systems. 3. Introduction to Set Theory and Fuzzy Logic. 4. Set Operations. 5. Generic Structure of Fuzzy Controllers. 6. Fuzzy Controllers. 7. System Identification for Rule-Based Systems. 8. Stability Analysis of Fuzzy Control System. 9. Neurofuzzy Controllers. 10. Practical Fuzzy Controller Development. 11. Examples of Fuzzy Control. 12. Fuzzy Model of Human Control Operator. 13. Collaborative Intelligent Control Systems. 14. Conclusions. Index.

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