Networked Control With State Reset and Quantized Measurements: Observer-Based Case
Networked Control With State Reset and Quantized Measurements: Observer-Based Case
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DOI：
10.1109/tie.2012.2227910
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发表时间：
2013-11
影响因子：
7.7
通讯作者：
Renquan Lu;Yong Xu;A. Xue;Jinchuan Zheng
中科院分区：
文献类型：
--
作者：
Renquan Lu;Yong Xu;A. Xue;Jinchuan Zheng
长期以来，量化一直是网络化控制系统的一个重要研究领域。本文研究了基于复位状态观测器（RSO）的线性系统控制（RSOC）的量化测量问题。根据对数量化器的特点，在标准RSOC的基础上提出了一种抑制传感器量化效应的RSOC。利用李雅普诺夫方法，当引入复位技术时，闭环系统仍然是渐近稳定的。通过求解线性矩阵不等式得到闭环系统的观测器和控制器增益。最后通过一个算例说明了所提结果的有效性。
Quantization has been an important research area for a long time for networked control systems. This paper addresses the problem of a reset state observer (RSO)-based control (RSOC) for linear systems using quantized measurements. According to the characteristic of the logarithmic quantizer, an RSOC is presented based on the standard one to suppress sensor quantization effects. By using the Lyapunov approach, the closed-loop system is still asymptotically stable when the reset technique is introduced. The observer and controller gains of the closed-loop systems are obtained via solving linear matrix inequalities. At last, a numerical example is given to illustrate the effectiveness of the proposed results.