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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach - Couverture souple
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This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.
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- ÉditeurSpringer
- Date d'édition2014
- ISBN 10 9401782547
- ISBN 13 9789401782548
- ReliureBroché
- Langueanglais
- Nombre de pages196
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach (Intelligent Systems, Control and Automation: Science and Engineering, 50)
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Spatio-temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach
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Spatio-temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach
Edité par
Springer, 2014
ISBN 10 : 9401782547
ISBN 13 : 9789401782548
Ancien ou d'occasion
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach (Intelligent Systems, Control and Automation: Science and Engineering, 50)
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Spatio-temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach
Edité par
Springer, 2014
ISBN 10 : 9401782547
ISBN 13 : 9789401782548
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
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Springer Netherlands Okt 2014, 2014
ISBN 10 : 9401782547
ISBN 13 : 9789401782548
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches.In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes.Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modeling and control. 196 pp. Englisch. N° de réf. du vendeur 9789401782548
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Spatio-temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach
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Springer Netherlands, Springer Netherlands, 2014
ISBN 10 : 9401782547
ISBN 13 : 9789401782548
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The purpose of this volume is to provide a brief review of the previous work on model reduction and identifi cation of distributed parameter systems (DPS), and develop new spatio-temporal models and their relevant identifi cation approaches.In this book, a systematic overview and classifi cation on the modeling of DPS is presented fi rst, which includes model reduction, parameter estimation and system identifi cation. Next, a class of block-oriented nonlinear systems in traditional lumped parameter systems (LPS) is extended to DPS, which results in the spatio-temporal Wiener and Hammerstein systems and their identifi cation methods. Then, the traditional Volterra model is extended to DPS, which results in the spatio-temporal Volterra model and its identification algorithm. All these methods are based on linear time/space separation. Sometimes, the nonlinear time/space separation can play a better role in modeling of very complex processes.Thus, a nonlinear time/space separation based neural modeling is also presented for a class of DPS with more complicated dynamics. Finally, all these modeling approaches are successfully applied to industrial thermal processes, including a catalytic rod, a packed-bed reactor and a snap curing oven. The work is presented giving a unifi ed view from time/space separation. The book also illustrates applications to thermal processes in the electronics packaging and chemical industry. This volume assumes a basic knowledge about distributed parameter systems, system modeling and identifi cation. It is intended for researchers, graduate students and engineers interested in distributed parameter systems, nonlinear systems, and process modelingand control. N° de réf. du vendeur 9789401782548
Quantité disponible : 1 disponible(s)
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Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
Edité par
Springer Netherlands, 2014
ISBN 10 : 9401782547
ISBN 13 : 9789401782548
Neuf
Couverture souple
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