Model Order Reduction for High Dimensional Linear Systems based on Rank-1 Incremental Proper Orthogonal Decomposition

被引：0

作者：

Xu, Chao ^{[1
]}

Schuster, Eugenio ^{[2
]}

机构：

[1] Zhejiang Univ, Dept Control Sci & Engn, 38 Zheda Rd, Hangzhou 310027, Zhejiang, Peoples R China

[2] Lehigh Univ, Dept Mech Engn, Bethlehem, PA 18015 USA

来源：

2011 AMERICAN CONTROL CONFERENCE | 2011年

基金：

美国国家科学基金会;

关键词：

D O I：

暂无

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 work considers a modified incremental proper orthogonal decomposition (iPOD) method and applications to model order reduction (MOR) of linear evolutionary distributed parameter systems. A recursive matrix transformation approach is proposed to obtain reduced order models from high-dimensional systems with less computational cost than the non-recursive case. A detailed analysis of the computational complexity is carried out to compare different numerical procedures. Simulation results based on the heat conduction process in a two dimensional container validate the effectiveness of the proposed method.

引用

页码：2975 / 2981

页数：7

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