Fuzzy Logic, Identification and Predictive Control - Joos P. L. Vandewalle,Vincent Wertz,Jairo Jose Espinosa Oviedo
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Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement¿ rather than simple "yes/nö, "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 effica ... Pilns apraksts
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Aprašymas
Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement¿ rather than simple "yes/nö, "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.
Vairāk informācijas
| Autors | Joos P. L. Vandewalle, Vincent Wertz, Jairo Jose Espinosa Oviedo |
|---|---|
| Izdevējs | Springer London |
| Series | Advances in Industrial Control |
| Izlaides gads | 2004 |
| Vāka tips | Cietais vāks |
| EAN | 9781852338282 |