Moment-matching based model reduction for Stokes-type quadratic-bilinear descriptor systems / Mian Ilyas Ahmad, Peter Benner, Pawan Goyal, Jan Heiland
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87092656X
URN
urn:nbn:de:gbv:3:2-64844
DOI
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Autorin / Autor
Beiträger
Erschienen
Magdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, October 22, 2015
Umfang
1 Online-Ressource (23 Seiten = 0,8 MB) : Illustrationen, Diagramme
Ausgabevermerk
Sprache
eng
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Inhaltliche Zusammenfassung
Abstract: We discuss a Krylov subspace projection method for model order reduction of a special class of quadratic-bilinear descriptor systems. The goal is to extend the two-sided moment-matching method for quadratic-bilinear ODEs to descriptor systems in an efficient and reliable way. Recent results have shown that the direct application of interpolation based model reduction techniques to linear descriptor systems, without any modifications, may lead to poor reduced-order systems. Therefore, for the analysis, we transform the quadratic-bilinear descriptor system into an equivalent quadratic-bilinear ODE system for which the moment-matching is performed. In view of implementation, we provide algorithms that identify the required Krylov subspaces without explicitly computing the projectors used in the analysis. The benefits of our approach are illustrated for the quadratic-bilinear descriptor system of semi-discretized Navier-Stokes equations.
Schriftenreihe
Max Planck Institute Magdeburg Preprints ; 15-18 ppn:870173030