Data & IT
Pocket
Fuzzy Logic, Identification and Predictive Control
Jairo Jose Espinosa Oviedo • Joos P L Vandewalle • Vincent Wertz
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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/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.
- Format: Pocket/Paperback
- ISBN: 9781849969314
- Språk: Engelska
- Antal sidor: 264
- Utgivningsdatum: 2010-10-21
- Förlag: Springer London Ltd