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商品詳細
Fuzzy Systems : Modeling and Control. Softcover reprint of the original 1st ed. 1998.
・ISBN 978-1-4613-7515-9 paper EUR 199.99
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| 著者・編者 | Hung T. Nguyen / Sugeno, Michio (eds.), |
|---|---|
| シリーズ | The Handbooks of Fuzzy Sets |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2012 |
| ページ数 | 519 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-17686＞ |
解説
The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous.
This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as:
Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as:
- Use of fuzzy logic in various control systems.
- Fuzzy rule-based modeling and its universal approximation properties.
- Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms.
- Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control.
- Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions.
Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.