You might also like

More about Fuzzy Logic, Identification and Predictive Control

• Book details
• Synopsis
• Trending among others

You get 373 loyalty points

Book 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.

Book details

Book category Books in English Reference, information & interdisciplinary subjects Research & information: general Information theory

• Full title: Fuzzy Logic, Identification and Predictive Control
• Author: J. J. Espinosa Oviedo, J. Vanderwalle, V. Wertz
• Language: English
• Binding: Hardback
• Number of pages: 264
• EAN: 9781852338282
• ISBN: 1852338288
• ID: 01435366
• Publisher: Springer London Ltd
• Weight: 1290 g
• Dimensions: 235 × 155 × 23 mm
• Date of publishing: 03. December 2004

Trending among others

---

---

---