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Fuzzy Logic, Identification and Predictive Control. Softcover reprint of hardcover 1st ed. 2005
・ISBN 978-1-84996-931-4 paper EUR 149.99
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| 著者・編者 | Espinosa Oviedo, Jairo Jose / Vandewalle, Joos P.L. / Wertz, Vincent, |
|---|---|
| シリーズ | (Advances in Industrial Control) |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2010 |
| ページ数 | 264 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-45131> |
解説
Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose.
Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining.
This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.