Compensated methods for networked control system with packet drops based on compressed sensing

FAN Ruifeng; YIN Xunhe; LIU Zhenfei; LAM Hak Keung

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Compensated methods for networked control system with packet drops based on compressed sensing

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摘要

Due to unreliable and bandwidth-limited characteristics of communication link in networked control systems,the realtime compensated methods for single-output systems and multioutput systems are proposed in this paper based on the compressed sensing(CS)theory and sliding window technique,by which the estimates of dropping data packets in the feedback channel are obtained and the performance degradation induced by packet drops is reduced.Specifically,in order to reduce the cumulative error caused by the algorithm,the compensated estimates for single-output systems are corrected via the regularization term;considering the process of single-packet transmission,a new sequential CS framework of sensor data streams is introduced to effectively compensate the dropping packet on single-channel of multi-output systems;in presence of the medium access constraints on multi-channel,the communication sequence for scheduling is coupled to the algorithm and the estimates of the multiple sensors for multi-output systems are obtained via the regularization term.Simulation results illustrate that the proposed methods perform well and receive satisfactory performance.

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《系统工程与电子技术：英文版》 |2021年第6期|1539-1556|共18页
作者
FAN Ruifeng; YIN Xunhe; LIU Zhenfei; LAM Hak Keung;
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作者单位

Optoelectronic System Division;

North China Research Institute of Electro-Optics;

China Electronics Technology Group Corpora-tion;

Beijing 100015;

China;

School of Electronic and Information Engineering;

Beijing Jiaotong University;

Beijing 100044;

China;

Department of Informatics;

Kings College London;

London WC2R 2ND;

UK;

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原文格式 PDF
正文语种 chi
中图分类计算技术、计算机技术;
关键词
networked control systems; packet drop; compensated method; compressed sensing(CS);

Compensated methods for networked control system with packet drops based on compressed sensing

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