9783319063638 - system identification and adaptive control: theory and applications of the neurofuzzy and fuzzy cognitive network models (advances in industrial control) de theodoridis, dimitrios; kottas, theodore; boutalis, yiannis (13 resultados)
System Identification And Adaptive Control
Boutalis, Yiannis; Theodoridis, Dimitrios; Kottas, Theodore; Christodoulou, Manolis A.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de AmericaRomtrade Corp.
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EUR 74,50
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Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Basi6 International, Irving, TX, Estados Unidos de AmericaBasi6 International
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EUR 75,09
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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 89,66
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Condición: Used. pp. xii + 313.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: Used. pp. xii + 313 120 Illus. (56 Col.).
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: 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.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia 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.
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 131,99
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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.
Idioma: Inglés
Editorial: Springer Verlag, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 314 pages. 9.25x6.25x0.75 inches. In Stock.
Idioma: Inglés
Editorial: Springer International Publishing, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 106,99
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Buch. Condición: 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) mod…els 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,
Idioma: Inglés
Editorial: Springer, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 173,12
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Hardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer International Publishing Mai 2014, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 106,99
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Buch. Condición: 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 n…etwork (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.
System Identification and Adaptive Control
Yiannis Boutalis|Dimitrios Theodoridis|Theodore Kottas|Manolis A. Christodoulou
Idioma: Inglés
Editorial: Springer International Publishing, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
- Tapa dura
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
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EUR 92,27
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Gebunden. Condición: 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.
Idioma: Inglés
Editorial: Springer, Springer Mai 2014, 2014
Serie: Advances in Industrial Control, Libro 107 de 167. Libro 107 de 167 - Advances in Industrial Control
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- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 106,99
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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 netwo…rk (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.
