Model order reduction for a family of linear systems with application in parametric and uncertain systems / Peter Benner, Sara Grundel
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Model order reduction for a family of linear systems with application in parametric and uncertain systems
Discovery
870649507
URN
urn:nbn:de:gbv:3:2-64443
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Publication history
Magdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, March 18, 2014
Content
1 Online-Ressource (12 Seiten = 0,3 MB) : Diagramme
Edition
Language
eng
Comment
Abstract
Abstract: We present an approach which creates a linear reduced order model whose transfer function interpolates at certain given points and approximates at others. We describe how to create the corresponding state space system and explain how this method is used for the simulation of large scale parametric systems or several realizations of an uncertain system. The interpolation points are typically the H2 optimal interpolations points of one particular system. The behavior of the method is illustrated in some numerical examples.
Series
Max Planck Institute Magdeburg Preprints ; 14-05 ppn:870173030