Optimal linear estimation for systems with transmission delays and packet dropouts

Cui Zhu; Yuanqing Xia; Lihua Xie; Liping Yan

doi:10.1049/iet-spr.2012.0348

Optimal linear estimation for systems with transmission delays and packet dropouts

Cui Zhu, Yuanqing Xia^*, Lihua Xie, Liping Yan

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

55 Citations (Scopus)

Abstract

This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentation method, optimal linear filter, predictor and smoother are obtained. A sufficient condition for the convergence of the system is given. Finally, the simulation results show the effectiveness of the proposed algorithms.

Original language	English
Pages (from-to)	814-823
Number of pages	10
Journal	IET Signal Processing
Volume	7
Issue number	9
DOIs	https://doi.org/10.1049/iet-spr.2012.0348
Publication status	Published - 2013

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abstract = "This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentation method, optimal linear filter, predictor and smoother are obtained. A sufficient condition for the convergence of the system is given. Finally, the simulation results show the effectiveness of the proposed algorithms.",

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AU - Xia, Yuanqing

AU - Xie, Lihua

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N2 - This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentation method, optimal linear filter, predictor and smoother are obtained. A sufficient condition for the convergence of the system is given. Finally, the simulation results show the effectiveness of the proposed algorithms.

AB - This study considers a networked system in which the measurement suffers from one-step delay and packet dropouts because of the unreliability of the network. A new model applied to describe the arrival conditions of the measurements is proposed. Based on the new model and using a state augmentation method, optimal linear filter, predictor and smoother are obtained. A sufficient condition for the convergence of the system is given. Finally, the simulation results show the effectiveness of the proposed algorithms.

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Optimal linear estimation for systems with transmission delays and packet dropouts

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