E-Book, Englisch, 264 Seiten, eBook
Espinosa Oviedo / Vandewalle / Wertz Fuzzy Logic, Identification and Predictive Control
1. Auflage 2007
ISBN: 978-1-84628-087-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 264 Seiten, eBook
Reihe: Advances in Industrial Control
ISBN: 978-1-84628-087-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Fuzzy Modeling.- Fuzzy Modeling.- Constructing Fuzzy Models from Input-Output Data.- Fuzzy Modeling with Linguistic Integrity: A Tool for Data Mining.- Nonlinear Identification Using Fuzzy Models.- Fuzzy Control.- Fuzzy Control.- Predictive Control Based on Fuzzy Models.- Robust Nonlinear Predictive Control Using Fuzzy Models.- Conclusions and Future Perspectives.