Title
Frequency-Limited Balanced Truncation with Low-Rank Approximations.
Abstract
In this article we investigate model order reduction of large-scale systems using frequency-limited balanced truncation, which restricts the well known balanced truncation framework to prescribed frequency regions. The main emphasis is put on the efficient numerical realization of this model reduction approach. We discuss numerical methods to take care of the involved matrix-valued functions. The occurring large-scale Lyapunov equations are solved for low-rank approximations for which we also establish results regarding the eigenvalues of their solutions. These results, and also numerical experiments, will show that the eigenvalues of the Lyapunov solutions in frequency-limited balanced truncation often decay faster than those in standard balanced truncation. Moreover, we show in further numerical examples that frequency-limited balanced truncation generates reduced order models which are significantly more accurate in the considered frequency region.
Year
DOI
Venue
2016
10.1137/15M1030911
SIAM JOURNAL ON SCIENTIFIC COMPUTING
Keywords
Field
DocType
Lyapunov equations,alternating direction implicit,controllability,observability,balanced truncation,model order reduction,rational Krylov subspaces,matrix functions,matrix logarithm
Alternating direction implicit method,Lyapunov function,Truncation error,Mathematical optimization,Controllability,Model order reduction,Mathematical analysis,Truncation error (numerical integration),Numerical analysis,Mathematics,Eigenvalues and eigenvectors
Journal
Volume
Issue
ISSN
38
1
1064-8275
Citations 
PageRank 
References 
9
0.91
14
Authors
3
Name
Order
Citations
PageRank
Peter Benner1825114.06
Patrick Kürschner2375.29
Jens Saak35911.00