Balanced truncation model reduction for a class of descriptor systems with application to the Oseen equations

被引:76
|
作者
Heinkenschloss, Matthias [1 ]
Sorensen, Danny C. [1 ]
Sun, Kai [1 ]
机构
[1] Rice Univ, Dept Computat & Appl Math, Houston, TX 77005 USA
来源
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2008年 / 30卷 / 02期
关键词
model reduction; control; descriptor systems; differential algebraic equations; Oseen equations; linearized Navier-Stokes equations;
D O I
10.1137/070681910
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We discuss the computation of balanced truncation model reduction for a class of descriptor systems which include the semidiscrete Oseen equations with time-independent advection and the linearized Navier-Stokes equations, linearized around a steady state. The purpose of this paper is twofold. First, we show how to apply standard balanced truncation model reduction techniques, which apply to dynamical systems given by ordinary differential equations, to this class of descriptor systems. This is accomplished by eliminating the algebraic equation using a projection. The second objective of this paper is to demonstrate how the important class of ADI/Smith-type methods for the approximate computation of reduced order models using balanced truncation can be applied without explicitly computing the aforementioned projection. Instead, we utilize the solution of saddle point problems. We demonstrate the effectiveness of the technique in the computation of reduced order models for semidiscrete Oseen equations.
引用
收藏
页码:1038 / 1063
页数:26
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