Fuzzy Logic, Identification and Predictive Control (Repost)
Jairo Jose Espinosa Oviedo, Joos P.L. Vandewalle, Vincent Wertz, "Fuzzy Logic, Identification and Predictive Control"
2004 | pages: 273 | ISBN: 1852338288 | PDF | 3,3 mb
2004 | pages: 273 | ISBN: 1852338288 | PDF | 3,3 mb
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.
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