Frequency- and time-limited balanced truncation for large-scale second-order systems

被引:15
|
作者
Benner, Peter [1 ,2 ]
Werner, Steffen W. R. [1 ]
机构
[1] Max Planck Inst Dynam Complex Tech Syst, Sandtorstr 1, D-39106 Magdeburg, Germany
[2] Otto von Guericke Univ, Fac Math, Univ Pl 2, D-39106 Magdeburg, Germany
关键词
Model order reduction; Second-order differential equations; Linear systems; Balanced truncation; Frequency-limited balanced truncation; Time-limited balanced truncation; Local model reduction; Structure-preserving approximation; MODEL ORDER REDUCTION; LARGE LYAPUNOV;
D O I
10.1016/j.laa.2020.06.024
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Considering the use of dynamical systems in practical applications, often only limited regions in the time or frequency domain are of interest. Therefore, it usually pays off to compute local approximations of the used dynamical systems in the frequency and time domain. In this paper, we consider a structure-preserving extension of the frequency- and time-limited balanced truncation methods to second-order dynamical systems. We give a full overview about the first-order limited balanced truncation methods and extend those to second-order systems by using the different second-order balanced truncation formulas from the literature. Also, we present numerical methods for solving the arising large-scale sparse matrix equations and give numerical modifications to deal with the problematic case of second-order systems. The results are then illustrated on three numerical examples. (C) 2020 The Author(s). Published by Elsevier Inc.
引用
收藏
页码:68 / 103
页数:36
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