The Challenge of Small Data: Dynamic Mode Decomposition, Redux

被引：1
|
作者：
Karimi, Amirhossein [1 ]
Georgiou, Tryphon T. [1 ]
机构：
[1] Univ Calif Irvine, Dept Mech & Aerosp Engn, Irvine, CA 92717 USA
来源：
2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2021年
基金：
美国国家科学基金会;
关键词：
SYSTEMS;
D O I：
10.1109/CDC45484.2021.9683686
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We revisit the setting and the assumptions that underlie the methodology of Dynamic Mode Decomposition (DMD) in order to highlight caveats as well as potential measures of when the applicability is warranted.
引用
收藏
页码：2276 / 2281
页数：6
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