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MODEL REDUCTION FOR LINEAR SYSTEMS WITH LOW-RANK SWITCHING.

Authors :
SCHULZE, PHILIPP
UNGER, BENJAMIN
Source :
SIAM Journal on Control & Optimization. 2018, Vol. 56 Issue 6, p4365-4384. 20p.
Publication Year :
2018

Abstract

We introduce a novel model order reduction (MOR) method for large-scale linear switched systems (LSS) where the coefficient matrices are affected by a low-rank switching. The key idea is to replace the LSS by a nonswitched system with extended input and output vectors---called the envelope system---which is able to reproduce the dynamical behavior of the original LSS by applying a certain feedback law. The envelope system can be reduced using standard MOR schemes and then transformed back into an LSS. Furthermore, we present an upper bound for the output error of the reduced-order LSS and show how to preserve quadratic Lyapunov stability. The approach is tested by means of a numerical example demonstrating the efficacy of the presented method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03630129
Volume :
56
Issue :
6
Database :
Academic Search Index
Journal :
SIAM Journal on Control & Optimization
Publication Type :
Academic Journal
Accession number :
133715690
Full Text :
https://doi.org/10.1137/18M1167887