Articles liés à Fuzzy Model Identification for Control
Synopsis
This book presents new approaches to the construction of fuzzy models for model-based control. The main methods and techniques are illustrated through simulated examples and real-world applications from chemical and process engineering. Supporting MATLAB and Simulink files--available at www.fmt.vein.hu/softcomp--create a computational platform for exploration and illustration of concepts and algorithms presented in the book. Aimed at researchers, practitioners, and professionals in process control and identification, but also accessible to grad students in electrical, chemical, and process engineering.
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Fuzzy Model Identification for Control (Systems & Control Foundations & Applicat)
Edité par
Birkhäuser, 2003
ISBN 10 : 0817642382
ISBN 13 : 9780817642389
Ancien ou d'occasion
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Vendeur : JERO BOOKS AND TEMPLET CO., SANTA MONICA, CA, Etats-Unis
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Hardcover. Etat : Very Good. Etat de la jaquette : No DJ. First Edition. First Edition. Hardcover without Dust Jacket. 8vo with 271 pages. The book is in very good condition with slight shelf wear such as bumping to edges. Interior is clean and tight, No markings or hi-lighting. Black spine with white text. No online access or CD-ROM or digital access codes if applicable! Please check the ISBN# assigned to this book to be certain that it is the same ISBN# of the book that is needed!! Read the description there will be a 20% restocking fee if returned and shipping will not be refunded or paid. Size: 8vo. Hardcover. N° de réf. du vendeur 030651
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Fuzzy Model Identification For Control (Systems And Control: Foundations And Applications)
Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-372218
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Fuzzy Model Identification for Control
Edité par
Birkhäuser Boston, 2003
ISBN 10 : 0817642382
ISBN 13 : 9780817642389
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files . N° de réf. du vendeur 5975729
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Fuzzy Model Identification for Control (Systems & Control Foundations & Applicat)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9780817642389_new
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Fuzzy Model Identification for Control
Edité par
Birkhäuser Boston, Birkhäuser Boston Feb 2003, 2003
ISBN 10 : 0817642382
ISBN 13 : 9780817642389
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Although the application of fuzzy models proved to be effective for the approxima tion of uncertain nonlinear processes, the data-driven identification offuzzy models alone sometimes yields complex and unrealistic models. Typically, this is due to the over-parameterization of the model and insufficient in formation content of the identification data set. These difficulties stem from a lack of initial a priori knowledge or information about the system to be modeled. To solve the problem of limited knowledge, in the area of modeling and identification, there is a tendency to blend information of different natures to employ as much knowledge for model building as possible. Hence, the incorporation of different types of a priori knowledge into the data-driven fuzzy model generation is a challenging and important task. Motivated by our research into this topic, our book presents new ap proaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effec tive use of heterogenous information in the form of numerical data, qualita tive knowledge and first-principle models. By exploiting the mathematical properties of the proposed model structures, such as invertibility and local linearity, new control algorithms will be presented.Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 288 pp. Englisch. N° de réf. du vendeur 9780817642389
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Fuzzy Model Identification for Control
Edité par
Birkhäuser Boston, 2003
ISBN 10 : 0817642382
ISBN 13 : 9780817642389
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Although the application of fuzzy models proved to be effective for the approxima tion of uncertain nonlinear processes, the data-driven identification offuzzy models alone sometimes yields complex and unrealistic models. Typically, this is due to the over-parameterization of the model and insufficient in formation content of the identification data set. These difficulties stem from a lack of initial a priori knowledge or information about the system to be modeled. To solve the problem of limited knowledge, in the area of modeling and identification, there is a tendency to blend information of different natures to employ as much knowledge for model building as possible. Hence, the incorporation of different types of a priori knowledge into the data-driven fuzzy model generation is a challenging and important task. Motivated by our research into this topic, our book presents new ap proaches to the construction of fuzzy models for model-based control. New model structures and identification algorithms are described for the effec tive use of heterogenous information in the form of numerical data, qualita tive knowledge and first-principle models. By exploiting the mathematical properties of the proposed model structures, such as invertibility and local linearity, new control algorithms will be presented. N° de réf. du vendeur 9780817642389
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Fuzzy Model Identification for Control
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : New. N° de réf. du vendeur 206754-n
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Fuzzy Model Identification for Control
Edité par
Birkhauser Boston Inc, 2003
ISBN 10 : 0817642382
ISBN 13 : 9780817642389
Neuf
Couverture rigide
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 611. N° de réf. du vendeur C9780817642389
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Fuzzy Model Identification for Control
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 206754-n
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Fuzzy Model Identification for Control
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Etat : New. pp. 288. N° de réf. du vendeur 26300475
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