Téléchargez le livre : Fuzzy Logic, Identification and Predictive Control

Fuzzy Logic, Identification and Predictive Control

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Springer

Collection : Advances in Industrial Control

Paru le : 2007-01-04

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 abil...
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Description du livre

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.

À propos

Auteur
Jairo Jose Espinosa Oviedo , Joos P.L. Vandewalle , Vincent Wertz
Éditeur
Springer
Collection
Advances in Industrial Control
Parution
2007-01-04
Pages
264 pages
EAN papier
9781852338282

Caractéristiques détaillées - droits

EAN PDF
9781846280870
Prix
147,69 €
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
3328 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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