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Energy-based model order reduction for linear stochastic Galerkin systems of second order

  • We consider a second-order linear system of ordinary differential equations (ODEs) including random variables. A stochastic Galerkin method yields a larger deterministic linear system of ODEs. We apply a model order reduction (MOR) of this high-dimensional linear dynamical system, where its internal energy represents a quadratic quantity of interest. We investigate the properties of this MOR with respect to stability, passivity and energy dissipation. Numerical results are shown for a system modelling a mass-spring-damper configuration.

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Metadaten
Author: Roland PulchORCiD
URN:urn:nbn:de:gbv:9-opus-112442
DOI:https://doi.org/10.1002/pamm.202300038
ISSN:1617-7061
Parent Title (English):Proceedings in Applied Mathematics and Mechanics (PAMM)
Publisher:Wiley
Place of publication:Hoboken, NJ
Document Type:Article
Language:English
Date of Publication (online):2023/09/15
Date of first Publication:2023/11/01
Release Date:2024/07/22
Volume:23
Issue:3
Article Number:e202300038
Page Number:9
Faculties:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik und Informatik
Collections:weitere DFG-förderfähige Artikel
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 4.0 International