Model Reduction for Parametric Systems Using Balanced Truncation and Interpolation

被引：47

作者：

Baur, Ulrike ^{[1
]}

Benner, Peter ^{[1
]}

机构：

[1] Tech Univ Chemnitz, Fak Math, D-09107 Chemnitz, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2009年 / 57卷 / 08期

关键词：

Parametric model order reduction; balanced truncation; interpolation; sparse grids;

D O I：

10.1524/auto.2009.0787

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a parameter-preserving approach for model order reduction of parameterized, linear systems. The proposed method is a coupling of balanced truncation with interpolation. Thus, error estimates for the quality of the reduced-order system can be derived. The method can be applied to systems containing several parameters by using sparse grids for the discretization of the parameter space.

引用

页码：411 / 419

页数：9

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