Optimal linear state estimator with multiple packet dropouts

Yan Liang; Tongwen Chen; Quan Pan

doi:10.1109/TAC.2010.2044263

Optimal linear state estimator with multiple packet dropouts

Yan Liang, Tongwen Chen, Quan Pan

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

122 Scopus citations

Abstract

This technical note is concerned with the optimal linear estimation problem in the presence of multiple packet dropouts in both sensor-to-controller and controller-to-actuator channels. The considered stochastic packet dropouts are independent and Bernoulli distributed. Based on a linear packet dropout model with stochastic parameters, a linear-minimum-variance (LMV) filter is proposed using the orthogonality principle. A sufficient condition for convergence of the steady-state LMV filter under a dc controller output is also given. Simulation results show the effectiveness of the proposed filter.

Original language	English
Article number	5422732
Pages (from-to)	1428-1433
Number of pages	6
Journal	IEEE Transactions on Automatic Control
Volume	55
Issue number	6
DOIs	https://doi.org/10.1109/TAC.2010.2044263
State	Published - Jun 2010
Externally published	Yes

Keywords

Networked control systems
Optimal filtering
Packet dropout
Stochastic systems

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10.1109/TAC.2010.2044263

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abstract = "This technical note is concerned with the optimal linear estimation problem in the presence of multiple packet dropouts in both sensor-to-controller and controller-to-actuator channels. The considered stochastic packet dropouts are independent and Bernoulli distributed. Based on a linear packet dropout model with stochastic parameters, a linear-minimum-variance (LMV) filter is proposed using the orthogonality principle. A sufficient condition for convergence of the steady-state LMV filter under a dc controller output is also given. Simulation results show the effectiveness of the proposed filter.",

keywords = "Networked control systems, Optimal filtering, Packet dropout, Stochastic systems",

author = "Yan Liang and Tongwen Chen and Quan Pan",

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AB - This technical note is concerned with the optimal linear estimation problem in the presence of multiple packet dropouts in both sensor-to-controller and controller-to-actuator channels. The considered stochastic packet dropouts are independent and Bernoulli distributed. Based on a linear packet dropout model with stochastic parameters, a linear-minimum-variance (LMV) filter is proposed using the orthogonality principle. A sufficient condition for convergence of the steady-state LMV filter under a dc controller output is also given. Simulation results show the effectiveness of the proposed filter.

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Optimal linear state estimator with multiple packet dropouts

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