Fuzzy Modeling for Control
Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling of partly-known nonlinear systems. Fuzzy models can effectively integrate information from different sources, such as physical laws, empirical models, measurements and heuristics. Application areas of fuzzy models...
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| Format: | eBook |
| Language: | English |
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Dordrecht
Springer Netherlands
1998, 1998
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| Edition: | 1st ed. 1998 |
| Series: | International Series in Intelligent Technologies
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Introduction
- 2. Fuzzy Modeling
- 3. Fuzzy Clustering Algorithms
- 4. Product-Space Clustering for Identification
- 5. Constructing Fuzzy Models from Partitions
- 6. Fuzzy Models in Nonlinear Control
- 7. Applications
- Appendices
- References
- Author Index