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.

中文翻译：

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压缩感知系统和控制方法的调查

在这篇调查论文中，我们回顾了压缩传感应用于系统和控制的最新进展。压缩感知在信号处理和机器学习领域得到了积极的研究。最近，该方法已应用于系统和控制问题，例如稀疏反馈增益设计、降阶控制和最大放手控制。本文介绍了压缩传感在系统和控制中的这些重要应用。本调查论文中所示数值示例的 MATLAB 程序可作为补充材料提供。