A MODEL-ORDER REDUCTION METHOD BASED ON KRYLOV SUBSPACES FOR MIMO BILINEAR DYNAMICAL SYSTEMS

被引：12
|
作者：
Lin, Yiqin [1 ]
Bao, Liang [2 ,3 ]
Wei, Yimin [2 ,3 ]
机构：
[1] Hunan Univ Sci & Engn, Dept Math & Computat Sci, Yongzhou 425100, Hunan, Peoples R China
[2] Fudan Univ, Sch Math Sci, Inst Math, Shanghai 200433, Peoples R China
[3] Fudan Univ, Minist Educ, Key Lab Math Nonlinear Sci, Shanghai, Peoples R China
来源：
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING | 2007年 / 25卷 / 1-2期
基金：
中国国家自然科学基金;
关键词：
Bilinear system; Krylov subspace; moment matching; reduced-order modeling;
D O I：
10.1007/BF02832354
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we present a Krylov subspace based projection method for reduced-order modeling of large scale bilinear multi-input multi-output (MIMO) systems. The reduced-order bilinear system is constructed in such a way that it can match a desired number of moments of multi-variable transfer functions corresponding to the kernels of Volterra series representation of the original system. Numerical examples report the effectiveness of this method.
引用
收藏
页码：293 / 304
页数：12
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