Fuzzy Control of Industrial Systems: Theory and Applications
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Beschreibung
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.
Eigenschaften
Breite: | 155 |
Höhe: | 235 |
Seiten: | 192 |
Sprachen: | Englisch |
Autor: | Ian S. Shaw |
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