Intermittent Quantized Kalman Filtering and LQG Control Based on Lloyd-Max Quantizer

被引:0
作者
Shen Zhiping [1 ,2 ]
Chen Junyong [1 ]
机构
[1] South China Univ Technol, Coll Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China
[2] Xinxiang Univ, Coll Math, Xinxiang 453000, Peoples R China
来源
PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年
关键词
Kalman filter; Information filter; Lloyd-max quantizer; WIRELESS SENSOR NETWORKS; COMMUNICATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The purpose of this paper is to discuss the batch intermittent quantized Kalman filter(BIQKF) and LQG control over lossy digital links using dynamic Lloyd-Max quantizer. A necessary and sufficient condition is presented for the Stability of the BIQKF. The condition, which is expressed in terms of the bit rate and the arrival probability initially. Under the assumption that the observation is approximately Gaussian, it is shown that the separation principle remains valid under the quantized output signal which is used to be transmitted over lossy networks. The optimal LQG controller is then given in terms of two Riccati difference equations associated respectively with the Kalman filter with intermittent quantized observations and the standard LQR control. The corresponding minimum cost is also derived.
引用
收藏
页码:5698 / 5703
页数:6
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