Saliency based control in random feature networks
Saliency based control in random feature networks
复制标题
随机特征网络中基于显着性的控制
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Z. Kong
中科院分区：
文献类型：
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作者：
J. Baillieul;Z. Kong
快速集中注意力并对显著的环境特征做出反应的能力使动物能够在栖息地中敏捷地移动。为了在合成系统中复制这种高性能的运动控制，我们提出了一种新的反馈控制方法，该方法将控制动作建立在随机感知的特征上。连接将与最近的工作纳入网络控制系统的通信协议。引入并研究了LTI控制系统的随机通道能控性和随机通道能观性的概念。
The ability to rapidly focus attention and react to salient environmental features enables animals to move agilely through their habitats. To replicate this kind of high-performance control of movement in synthetic systems, we propose a new approach to feedback control that bases control actions on randomly perceived features. Connections will be made with recent work incorporating communication protocols into networked control systems. The concepts of random channel controllability and random channel observability for LTI control systems are introduced and studied.