A survey on compressed sensing approach to systems and control

被引：0
|
作者：
Nagahara, Masaaki [1 ]
Yamamoto, Yutaka [2 ]
机构：
[1] Hiroshima Univ, Grad Sch Adv Sci & Engn, 1-4-1 Kagamiyama, Higashihiroshima, Hiroshima 7398521, Japan
[2] Kyoto Univ, Grad Sch Informat, Yoshida Honmachi Sakyo-ku, Kyoto 6068501, Japan
来源：
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS | 2024年 / 36卷 / 01期
关键词：
Compressed sensing; Convex optimization; Sparse control; Reduced-order control; Maximum hands-off control; HANDS-OFF CONTROL; ACTUATOR PLACEMENT; PREDICTIVE CONTROL; BAND; LMI;
D O I：
10.1007/s00498-023-00366-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this survey paper, we review recent advances of compressed sensing applied to systems and control. Compressed sensing has been actively researched in the field of signal processing and machine learning. More recently, the method has been applied to systems and control problems, such as sparse feedback gain design, reduced-order control, and maximum hands-off control. This paper introduces these important applications of compressed sensing to systems and control. MATLAB programs for the numerical examples shown in this survey paper are available as supplementary materials.
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页码：1 / 20
页数：20
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