Optimal linear estimation with square-based sampling

Haomiao Zhou; Zhihong Deng; Yuanqing Xia; Mengyin Fu

doi:10.1016/j.ins.2014.10.016

Optimal linear estimation with square-based sampling

Haomiao Zhou, Zhihong Deng^*, Yuanqing Xia, Mengyin Fu

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

This paper is concerned with the problem of event-based sampling for the purpose of reducing the number of data transferred in control systems and the corresponding modified Kalman filter. A mathematical description based upon square-based sampling is proposed, in which the sampling occured when the accumulated difference between two adjacent sampling points satisfies the specified event condition. Then, by utilizing the square based sampling method, a modified Kalman filter algorithm is adopted, in which the measurement is sent when the output exceeds a given event. The simulation results illustrate the advantage of the new event-based sampling scheme and the effectiveness of modified Kalman filter.

源语言	英语
页（从-至）	225-236
页数	12
期刊	Information Sciences
卷	298
DOI	https://doi.org/10.1016/j.ins.2014.10.016
出版状态	已出版 - 20 3月 2015

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Zhou, H., Deng, Z., Xia, Y., & Fu, M. (2015). Optimal linear estimation with square-based sampling. Information Sciences, 298, 225-236. https://doi.org/10.1016/j.ins.2014.10.016

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title = "Optimal linear estimation with square-based sampling",

abstract = "This paper is concerned with the problem of event-based sampling for the purpose of reducing the number of data transferred in control systems and the corresponding modified Kalman filter. A mathematical description based upon square-based sampling is proposed, in which the sampling occured when the accumulated difference between two adjacent sampling points satisfies the specified event condition. Then, by utilizing the square based sampling method, a modified Kalman filter algorithm is adopted, in which the measurement is sent when the output exceeds a given event. The simulation results illustrate the advantage of the new event-based sampling scheme and the effectiveness of modified Kalman filter.",

keywords = "Event-based sampling, Kalman filtering, Squared-based state estimation",

author = "Haomiao Zhou and Zhihong Deng and Yuanqing Xia and Mengyin Fu",

note = "Publisher Copyright: {\textcopyright} 2015 Published by Elsevier Inc.",

year = "2015",

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doi = "10.1016/j.ins.2014.10.016",

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T1 - Optimal linear estimation with square-based sampling

AU - Zhou, Haomiao

AU - Deng, Zhihong

AU - Xia, Yuanqing

AU - Fu, Mengyin

PY - 2015/3/20

Y1 - 2015/3/20

N2 - This paper is concerned with the problem of event-based sampling for the purpose of reducing the number of data transferred in control systems and the corresponding modified Kalman filter. A mathematical description based upon square-based sampling is proposed, in which the sampling occured when the accumulated difference between two adjacent sampling points satisfies the specified event condition. Then, by utilizing the square based sampling method, a modified Kalman filter algorithm is adopted, in which the measurement is sent when the output exceeds a given event. The simulation results illustrate the advantage of the new event-based sampling scheme and the effectiveness of modified Kalman filter.

AB - This paper is concerned with the problem of event-based sampling for the purpose of reducing the number of data transferred in control systems and the corresponding modified Kalman filter. A mathematical description based upon square-based sampling is proposed, in which the sampling occured when the accumulated difference between two adjacent sampling points satisfies the specified event condition. Then, by utilizing the square based sampling method, a modified Kalman filter algorithm is adopted, in which the measurement is sent when the output exceeds a given event. The simulation results illustrate the advantage of the new event-based sampling scheme and the effectiveness of modified Kalman filter.

KW - Event-based sampling

KW - Kalman filtering

KW - Squared-based state estimation

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U2 - 10.1016/j.ins.2014.10.016

DO - 10.1016/j.ins.2014.10.016

M3 - Article

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SN - 0020-0255

VL - 298

SP - 225

EP - 236

JO - Information Sciences

JF - Information Sciences

ER -

Optimal linear estimation with square-based sampling

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