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Fuzzy Logic, Identification and Predictive Control - Joos P. L. Vandewalle,Vincent Wertz,Jairo Jose Espinosa Oviedo

Anglų
2010-10-21
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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 ... Visas aprašymas

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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 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.

Daugiau informacijos

Autorius Joos P. L. Vandewalle, Vincent Wertz, Jairo Jose Espinosa Oviedo
Leidėjas Springer London
Series Advances in Industrial Control
Išleidimo metai 2010
Viršelio tipas Minkšti viršeliai
EAN 9781849969314
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180,17 € 277,18 €