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"New insights into the transfer of fuzzy methods into the modern control paradigms encompassing robust, model-based, PID-like, and predictive control are presented in this book. ... Five appendices support the already extensive results of the chapters by proofs, explanations and illustrative examples. The book (263 pages, 138 figures, 95 references) is of interest to researchers in the field of data mining, artificial intelligence, modeling, and control. Also, the realistic examples provide good material to graduate students and engineers." (Ingmar Randvee, Zentralblatt MATH, Vol. 1061 (12), 2005)
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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.
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- VerlagSpringer
- Erscheinungsdatum2010
- ISBN 10 1849969310
- ISBN 13 9781849969314
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten284
EUR 233,35
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Fuzzy Logic, Identification and Predictive Control
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For the first time in monograph form, the reader can learn the use of fuzzy models in predictive control The reader will learn a novel approach to the construction of fuzzy models which compounds the data from real situations with the . Bestandsnummer des Verkäufers 4288990
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Fuzzy Logic, Identification and Predictive Control (Advances in Industrial Control)
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Fuzzy Logic, Identification and Predictive Control
Verlag:
Springer London, Springer London, 2010
ISBN 10: 1849969310
ISBN 13: 9781849969314
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9781849969314
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Fuzzy Logic, Identification and Predictive Control
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781849969314
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Fuzzy Logic, Identification and Predictive Control
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Springer London Ltd, 2010
ISBN 10: 1849969310
ISBN 13: 9781849969314
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