Fuzzy Logic, Identification and Predictive Control (Advances in Industrial Control)

✍ Scribed by Jairo Espinosa Joos Vandewalle Vincent Wertz

• Year: 2004
• Tongue: English
• Leaves: 274
• Edition: 1st Edition.
• Category: Library

✦ Synopsis

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.

✦ Subjects

Математика;Математическая логика;Нечеткая логика;