Fuzzy Logic, Identification and Predictive Control
Espinosa Oviedo, Jairo Jose, Vandewalle, Joos P.L., Wertz, Vincent
ISBN 10: 1849969310 ISBN 13: 9781849969314
Published by Springer, 2010
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About this Item
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2010. Paperback. . . . . . Seller Inventory # V9781849969314
Synopsis:
Demand for this book will come from research engineers looking to find ways to deal with systems (especially non-linear systems) which have been difficult to deal with in traditional control and from industrial control engineers looking to take advantage of the low-solution costs associated with the implementation of fuzzy methods in improving existing control protocols.
About the Author:
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.
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Title: Fuzzy Logic, Identification and Predictive ...
Publisher: Springer
Publication Date: 2010
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 monographpresentsa 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. 284 pp. Englisch. Seller Inventory # 9781849969314
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding 'judgement¿ rather than simple 'yes/nö, '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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. Seller Inventory # 9781849969314
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781849969314
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