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Více informací o knize Fuzzy Logic, Identification and Predictive Control

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• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Information theory

• Plný název: Fuzzy Logic, Identification and Predictive Control
• Autor: J. J. Espinosa Oviedo, J. Vanderwalle, V. Wertz
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 264
• EAN: 9781852338282
• ISBN: 1852338288
• ID: 01435366
• Nakladatelství: Springer London Ltd
• Hmotnost: 1290 g
• Rozměry: 235 × 155 × 23 mm
• Datum vydání: 03. December 2004

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