Optimal actuator/sensor selection through dynamic output feedback
Optimal actuator/sensor selection through dynamic output feedback
复制标题
通过动态输出反馈选择最佳执行器/传感器
DOI：
10.1109/cdc.2016.7798814
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Savkin
中科院分区：
文献类型：
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作者：
A. Argha;S. Su;A. Savkin
针对连续线性定常系统，研究了多通道动态输出反馈控制器对执行器/传感器子集的最优选择问题.在优化目标函数中增加两个额外的用于惩罚执行器和传感器数量的项，我们开发了一个迭代过程来识别有利的行/列稀疏自由度增益。采用所确定的结构，我们解决了所构建的行/列结构的多通道多自由度的问题，以获得一个增益，利用最佳数量的传感器/执行器的闭环稳定性保持和性能退化的闭环系统受到限制。通过一个例子，我们展示了显着的性能和广泛的适用性所提出的方法。
This paper is devoted to the problem of optimal selection of a subset of available actuators/sensors through a multi-channel ℋ2 dynamic output feedback controller for continuous linear time invariant systems. Incorporating two extra terms for penalizing the number of actuators and sensors into the optimization objective function, we develop an iterative process to identify the favorable row/column-wise sparse DOF gains. Employing the identified structure, we solve the constructed row/column structured multi-channel ℋ2 DOF problem in order to derive a gain that exploits optimum number of sensors/actuators by which the closed-loop stability is maintained and the performance degradation of the closed-loop system is restricted. Through an example we demonstrate the remarkable performance and broad applicability of the proposed approach.