Fuzzy Logic, Identification and Predictive Control

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Éditeur :

Springer


Collection :

Advances in Industrial Control

Paru le : 2007-01-04

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Description
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.
Pages
264 pages
Collection
Advances in Industrial Control
Parution
2007-01-04
Marque
Springer
EAN papier
9781852338282
EAN PDF
9781846280870

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
3328 Ko
Prix
147,69 €