A Survey of Model Reduction Methods for Large-Scale Systems
A Survey of Model Reduction Methods for Large-Scale Systems
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DOI：
10.1090/conm/280/04630
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发表时间：
2000-12
期刊：
影响因子：
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通讯作者：
A. Antoulas;D. Sorensen;S. Gugercin
中科院分区：
文献类型：
--
作者：
A. Antoulas;D. Sorensen;S. Gugercin
概述了模型降阶方法和所产生的算法的比较。这些方法分为两大类，即基于SVD和基于矩匹配的方法。事实证明，在前一种情况下的近似误差表现更好的全球频率，而在后一种情况下的本地行为是更好的。
An overview of model reduction methods and a comparison of the resulting algorithms is presented. These approaches are divided into two broad categories, namely SVD based and moment matching based methods. It turns out that the approximation error in the former case behaves better globally in frequency while in the latter case the local behavior is better.