Fuzzy Logic, Identification and Predictive Control

1. Auflage. Softcover version of original hardcover Auflage 2005
ISBN: 978-1-84996-931-4
Verlag: Springer

Buch, Englisch, 264 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Reihe: Advances in Industrial Control

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.

Espinosa Oviedo, Jairo Jose

Vandewalle, Joos P.L.

Wertz, Vincent

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation

Inhaltsverzeichnis

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.

Über Autor(innen)

Jairo Espinosa had a considerable experience of the practitioner side of advanced control systems and fuzzy systems in particular working with such companies as Zenith Data Systems in his native Colombia. There, he also won prizes for his academic work and for electronic design. He now works for IPCOS a company specialising in the design of advanced control systems for many process industries. This wil allow the author to draw on a good selection of industrial situations in writing the book.

Vincent Wertz is now head of the Automatic Control Group at Louvain where he is particularly active in Ph.D. supervision work (his contributions to the book will ensure relevance to the graduate market) and the book reflects all of his main research interests.