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Synopsis
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . . ., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series otTers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The time for nonlinear control to enter routine application seems to be approaching. Nonlinear control has had a long gestation period but much ofthe past has been concerned with methods that involve formal nonlinear functional model representations. It seems more likely that the breakthough will come through the use of other more flexible and amenable nonlinear system modelling tools. This Advances in Industrial Control monograph by Guoping Liu gives an excellent introduction to the type of new nonlinear system modelling methods currently being developed and used. Neural networks appear prominent in these new modelling directions. The monograph presents a systematic development of this exciting subject. It opens with a useful tutorial introductory chapter on the various tools to be used. In subsequent chapters Doctor Liu leads the reader through identification, and then onto nonlinear control using nonlinear system neural network representations.
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Nonlinear Identification and Control : A Neural Network Approach
Edité par
Springer London, Limited, 2001
ISBN 10 : 1852333421
ISBN 13 : 9781852333423
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Etat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur GRP76936312
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Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control).
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Springer, 2001
ISBN 10 : 1852333421
ISBN 13 : 9781852333423
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Vendeur : Wissenschaftl. Antiquariat Th. Haker e.K, Klettgau, Allemagne
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Etat : Sehr gut. 230 p. In very good condition. ISBN: 9781852333423 Sprache: Englisch Gewicht in Gramm: 495 15,6 x 1,4 x 23,4 cm, hardcover. N° de réf. du vendeur 59277
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Nonlinear Identification and Control : A Nueral Network Approach
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Nonlinear Identification and Control (Hardcover)
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Springer London Ltd, England, 2001
ISBN 10 : 1852333421
ISBN 13 : 9781852333423
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Hardcover. Etat : new. Hardcover. The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series otTers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The time for nonlinear control to enter routine application seems to be approaching. Nonlinear control has had a long gestation period but much ofthe past has been concerned with methods that involve formal nonlinear functional model representations. It seems more likely that the breakthough will come through the use of other more flexible and amenable nonlinear system modelling tools. This Advances in Industrial Control monograph by Guoping Liu gives an excellent introduction to the type of new nonlinear system modelling methods currently being developed and used. Neural networks appear prominent in these new modelling directions. The monograph presents a systematic development of this exciting subject. It opens with a useful tutorial introductory chapter on the various tools to be used. In subsequent chapters Doctor Liu leads the reader through identification, and then onto nonlinear control using nonlinear system neural network representations. The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies . Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781852333423
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Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control)
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Nonlinear Identification and Control : A Nueral Network Approach
Edité par
Springer, 2001
ISBN 10 : 1852333421
ISBN 13 : 9781852333423
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Nonlinear Identification and Control: A Neural Network Approach (Advances in Industrial Control)
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Nonlinear Identification and Control : A Nueral Network Approach
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Nonlinear Identification and Control
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It uses a number of simulated and industrial examples throughout, to demonstrate the operation of nonlinear identification and contr. N° de réf. du vendeur 4289490
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Nonlinear Identification and Control
Edité par
Springer London Ltd, 2001
ISBN 10 : 1852333421
ISBN 13 : 9781852333423
Neuf
Couverture rigide
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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Etat : New. The purpose of this monograph is to present the broad aspects of nonlinear identification and control using neural networks, to enable the reader to analyze and synthesize nonlinear control systems quantitatively. Series: Advances in Industrial Control. Num Pages: 230 pages, 4 black & white tables, biography. BIC Classification: PBWR; TBC; TJFM; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 504. . 2001. Hardback. . . . . N° de réf. du vendeur V9781852333423
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