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Title:

sss & sssMOR: Analysis and Reduction of Large-Scale Dynamic Systems in MATLAB

Document type:
Zeitschriftenaufsatz
Author(s):
Castagnotto, A.; Cruz Varona, M.; Jeschek, L.; Lohmann, B.
Abstract:
We present two MATLAB toolboxes, provided as open-source code, that expand the capabilities of the Control System Toolbox to large-scale models. sss allows the definition and analysis of sparse state-space (sss) objects with functions (such as bode, step, norm,...) revisited to exploit the sparsity of the system matrices. sssMOR entails model reduction algorithms that capture the relevant dynamics of high order systems in models of significantly lower dimensions. The sssMOR_App provides...     »
Keywords:
large-scale systems, control systems, model reduction, MATLAB, control system toolbox
Congress / additional information:
Honored with the at-Best-Paper-Award 2017 in the category “Tools”
Journal title:
at-Automatisierungstechnik
Year:
2017
Journal volume:
65
Year / month:
2017-02
Month:
Feb
Journal issue:
2
Covered by:
Scopus
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1515/auto-2016-0137
WWW:
degruyter.com
Publisher:
DE GRUYTER
Publisher address:
Oldenburg
Print-ISSN:
0178-2312
E-ISSN:
2196-677X
Status:
Verlagsversion / published
Submitted:
30.11.2016
Accepted:
22.12.2016
Date of publication:
07.02.2017
TUM Institution:
Lehrstuhl für Regelungstechnik
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