Fuzzy Logic, Identification and Predictive Control
Espinosa Oviedo, Jairo Jose, Vandewalle, Joos P.L., Wertz, Vincent
Produktnummer:
18f025a23fe64c428a80599577127377c9
| Autor: | Espinosa Oviedo, Jairo Jose Vandewalle, Joos P.L. Wertz, Vincent |
|---|---|
| Themengebiete: | Control Control Applications Data Mining Fuzzy Control Fuzzy Modelling Intelligent Control Nonlinear Predictive Control control engineering modeling simulation |
| Veröffentlichungsdatum: | 03.12.2004 |
| EAN: | 9781852338282 |
| Sprache: | Englisch |
| Seitenzahl: | 264 |
| Produktart: | Gebunden |
| Verlag: | Springer London |
Produktinformationen "Fuzzy Logic, Identification and Predictive Control"
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.
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