Nederlands
Nederland
Aanmelden
De tip van euro-boek.nl
Soortgelijke boeken
Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
Zoekfuncties
boekentips
actueel
Advertentie
Betaalde advertentie
FILTER
- 0 resultaten
laagste prijs: 100,35 €, hoogste prijs: 140,08 €, gemiddelde prijs: 120,29 €
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach - Han-Xiong Li, Chenkun Qi
uitverkocht boek
(*)
Han-Xiong Li, Chenkun Qi:
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach - nieuw boek

ISBN: 9789400707405

ID: 978940070740

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. Han-Xiong Li, Chenkun Qi, Books, Science and Nature, Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems: A Time/Space Separation Based Approach Books>Science and Nature, Springer Netherlands

Nieuw boek Indigo.ca
new Free shipping on orders above $25 Verzendingskosten:zzgl. Versandkosten, exclusief verzendingskosten
Details...
(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems - Han-Xiong Li
uitverkocht boek
(*)
Han-Xiong Li:
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems - nieuw boek

ISBN: 9789400707405

[ED: Buch], [PU: Springer-Verlag GmbH], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, FixedPrice, 175, [GW: 434g], offene Rechnung (Vorkasse vorbehalten), PayPal, Banküberweisung

Nieuw boek Booklooker.de
Buchhandlung Kühn GmbH
Verzendingskosten:Versandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems - Han-Xiong Li
uitverkocht boek
(*)
Han-Xiong Li:
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems - nieuw boek

1, ISBN: 9789400707405

[ED: Buch], [PU: Springer-Verlag GmbH], 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., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 244x164x22 mm, 175, [GW: 434g], PayPal, Banküberweisung, Internationaler Versand

Nieuw boek Booklooker.de
buchversandmimpf2000
Verzendingskosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00)
Details...
(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems
uitverkocht boek
(*)
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems - nieuw boek

ISBN: 9789400707405

ID: 1bf829781857b61fd7f89d46b8be8c56

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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Mathematik / Sonstiges

Nieuw boek Dodax.de
Nr. 8GPKRF2TJ0M. Verzendingskosten:Versandkosten: 0 EUR, 11, zzgl. Versandkosten. (EUR 0.00)
Details...
(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach - Chenkun Qi; Han-Xiong Li
uitverkocht boek
(*)
Chenkun Qi; Han-Xiong Li:
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems : A Time/Space Separation Based Approach - gebruikt boek

ISBN: 9400707401

ID: 10879742

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 para engineering,math,mathematics,science,science and math,science and scientists,science and technology,technology Mathematics, Springer

gebruikt boek Thriftbooks.com
used. Verzendingskosten:zzgl. Versandkosten., exclusief verzendingskosten
Details...
(*) Uitverkocht betekent dat het boek is momenteel niet beschikbaar op elk van de bijbehorende platforms we zoeken.

Bijzonderheden over het boek
Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems

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.

Gedetalleerde informatie over het boek. - Spatio-Temporal Modeling of Nonlinear Distributed Parameter Systems


EAN (ISBN-13): 9789400707405
ISBN (ISBN-10): 9400707401
Gebonden uitgave
Verschijningsjaar: 2011
Uitgever: Springer-Verlag GmbH
175 Bladzijden
Gewicht: 0,434 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 26.09.2008 17:04:24
Boek voor het laatst gevonden op 10.04.2018 20:42:18
ISBN/EAN: 9789400707405

ISBN - alternatieve schrijfwijzen:
94-007-0740-1, 978-94-007-0740-5


< naar Archief...
Verwante boeken