Model Order Reduction for Systems with Moving Loads

被引：14
|
作者：
Lang, Norman [1 ]
Saak, Jens [2 ,3 ]
Benner, Peter [2 ,3 ]
机构：
[1] Tech Univ Chemnitz, Fak Math Math Ind & Tech, D-09126 Chemnitz, Germany
[2] Tech Univ Chemnitz, D-09126 Chemnitz, Germany
[3] Max Planck Inst Dynam Complex Tech Syst, Magdeburg, Germany
来源：
AT-AUTOMATISIERUNGSTECHNIK | 2014年 / 62卷 / 07期
关键词：
Model order reduction; parametric; linear time invariant systems; switched linear systems; BALANCED TRUNCATION;
D O I：
10.1515/auto-2014-1095
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this contribution we present two approaches allowing to find a reduced order approximant of a full order model featuring a moving load term. First, we apply the Balanced Truncation (BT) method to a switched linear system (SLS) using the special structure given in the spatially discretized model. The second approach treats the variability as a continuous parameter dependence and uses the iterative rational Krylov algorithm (IRKA) to compute a parameter preserving reduced order model.
引用
收藏
页码：512 / 522
页数：11
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