Model Order Reduction for Systems with Moving Loads

被引：15

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

页码：512 / 522

页数：11

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