A Fully Adaptive Scheme for Model Order Reduction Based on Moment Matching

被引：41
|
作者：
Feng, Lihong [1 ]
Korvink, Jan G. [2 ,3 ]
Benner, Peter [1 ]
机构：
[1] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany
[2] Univ Freiburg, Inst Microsyst Technol, Freiburg Inst Adv Studies, Dept Microsyst Engn, D-79085 Freiburg, Germany
[3] Karlsruhe Inst Technol, Inst Microstruct Technol, D-76344 Karlsruhe, Germany
来源：
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY | 2015年 / 5卷 / 12期
关键词：
Adaptive algorithms; mathematical model; numerical simulation; reduced order systems; APPROXIMATION;
D O I：
10.1109/TCPMT.2015.2491341
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A fully adaptive model order reduction scheme based on moment matching is proposed to derive the reduced-order models of linear time-invariant (LTI) systems. According to the given error tolerance, the order of the reduced-order model as well as the expansion points for the transfer function is automatically determined on the fly during the process of model reduction. In this sense, the reduced-order model is automatically obtained without assigning the number of moments and expansion points in a priori, which is a prerequisite for the standard implementation of model reduction based on moment matching. The proposed adaptive scheme is found to be efficient when it is tested on various LTI systems.
引用
收藏
页码：1872 / 1884
页数：13
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