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Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition

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Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition

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Nadal Soriano, E.; Chinesta Soria, FJ.; Díez Mejia, P.; Fuenmayor Fernández, FJ.; Denia Guzmán, FD. (2015). Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition. Computer Methods in Applied Mechanics and Engineering. 296(1):113-128. doi:10.1016/j.cma.2015.07.020

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Title: Real time parameter identification and solution reconstruction from experimental data using the Proper Generalized Decomposition
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Issued date:
Abstract:
Some industrial processes are modelled by parametric partial differential equations. Integrating computational modelling and data assimilation into the control process requires obtaining a solution of the numerical model ...[+]
Subjects: Proper Generalized Decomposition , Data Assimilation , Model Order Reduction , Discrete Empirical Interpolation Method , System Control , Parameter Identification.
Copyrigths: Reserva de todos los derechos
Source:
Computer Methods in Applied Mechanics and Engineering. (issn: 0045-7825 )
DOI: 10.1016/j.cma.2015.07.020
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cma.2015.07.020
Thanks:
UPV's authors thank the financial support from Universitat Politecnica de Valencia and Generalitat Valenciana (PROMETEO/2012/023).
Type: Artículo

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