Cross-Gramian-Based Model Reduction: A Comparison

Himpe C, Ohlberger M

Research article (book contribution) | Peer reviewed

Abstract

As an alternative to the popular balanced truncation method, the cross Gramian matrix induces a class of balancing model reduction techniques. Besides the classical computation of the cross Gramian by a Sylvester matrix equation, an empirical cross Gramian can be computed based on simulated trajectories. This work assesses the cross Gramian and its empirical Gramian variant for state-space reduction on a procedural benchmark based on the cross Gramian itself.

Details about the publication

PublisherBenner P, Ohlberger M, Patera A, Rozza G, Urban K
Book titleModel Reduction of Parametrized Systems
Page range271-283
Publishing companySpringer International Publishing
Place of publicationCham
Title of seriesMS&A (Modeling, Simulation and Applications)
Volume of series17
StatusPublished
Release year2017
Language in which the publication is writtenEnglish
ISBN978-3-319-58785-1
DOI10.1007/978-3-319-58786-8_17
KeywordsModel Reduction; Model Order Reduction; Empirical Gramians; Cross Gramian; Empirical Cross Gramian

Authors from the University of Münster

Himpe, Christian
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Ohlberger, Mario
Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger)
Center for Nonlinear Science
Center for Multiscale Theory and Computation