9783319063638 - system identification and adaptive control: theory and applications of the neurofuzzy and fuzzy cognitive network models di boutalis, yiannis; theodoridis, dimitrios; kottas, theodore; christodoulou, manolis a. (13 risultati)
System Identification And Adaptive Control
Boutalis, Yiannis; Theodoridis, Dimitrios; Kottas, Theodore; Christodoulou, Manolis A.
Lingua: Inglese
Editore: Springer, 2014
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Lingua: Inglese
Editore: Springer, 2014
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Lingua: Inglese
Editore: Springer, 2014
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Condizione: Used. pp. xii + 313.
Lingua: Inglese
Editore: Springer, 2014
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Condizione: Used. pp. xii + 313 120 Illus. (56 Col.).
Lingua: Inglese
Editore: Springer, 2014
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Condizione: Used. pp. xii + 313.
System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models (Advances in Industrial Control)
Boutalis, Yiannis; Theodoridis, Dimitrios; Kottas, Theodore; Christodoulou, Manolis A.
Lingua: Inglese
Editore: Springer, 2014
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models
Boutalis, Yiannis/ Theodoridis, Dimitrios/ Kottas, Theodore/ Christodoulou, Manolis A.
Lingua: Inglese
Editore: Springer Verlag, 2014
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 314 pages. 9.25x6.25x0.75 inches. In Stock.
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Lingua: Inglese
Editore: Springer International Publishing, 2014
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) mo…dels are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of 'concepts' and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:- contemporary power generation;- process control and- conventional benchmarking problems.Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.
System Identification and Adaptive Control: Theory and Applications of the Neurofuzzy and Fuzzy Cognitive Network Models (Advances in Industrial Control)
Boutalis, Yiannis, Theodoridis, Dimitrios, Kottas, Theodore,
Lingua: Inglese
Editore: Springer, 2014
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
System Identification and Adaptive Control
Boutalis, Yiannis; Theodoridis, Dimitrios; Kottas, Theodore; Christodoulou, Manolis A.
Lingua: Inglese
Editore: Springer, 2014
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Condizione: Brand New. New. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
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Lingua: Inglese
Editore: Springer International Publishing Mai 2014, 2014
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive…network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of 'concepts' and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:- contemporary power generation;- process control and- conventional benchmarking problems.Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results. 328 pp. Englisch.
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System Identification and Adaptive Control
Yiannis Boutalis|Dimitrios Theodoridis|Theodore Kottas|Manolis A. Christodoulou
Lingua: Inglese
Editore: Springer International Publishing, 2014
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Summarizes the latest studies in neurofuzzy controlExplains how to apply two powerful models in a variety of systemsProvides the reader with mutually reinforcing rigorous theoretical proof and simulationThe… authors works intensively.
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Lingua: Inglese
Editore: Springer, Springer Mai 2014, 2014
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive netw…ork (FCN) models are presented.Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN modelstems from fuzzy cognitive maps and uses the notion of ¿concepts¿ and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems.All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in:¿ contemporary power generation;¿ process control and¿ conventional benchmarking problems.Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 328 pp. Englisch.
