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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
收藏
页码：2975 / 2981
页数：7
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