Data-driven filter design for linear networked systems with bounded noise

Yuanqing Xia; Li Dai; Wen Xie; Yulong Gao

doi:10.1007/978-3-662-48386-2_20

Data-driven filter design for linear networked systems with bounded noise

Yuanqing Xia^*, Li Dai, Wen Xie, Yulong Gao

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Considering the case that the mathematical model of control plant is unavailable, this paper is concerned with the problem of data-driven filtering for linear networked systems with bounded noise and transmission data dropouts. One merit of the design is that the filter can be directly employed without identifying the model. To overcome the effect of data dropouts during the transmission, an output predictor is designed based only on the received output and input of the system. By utilizing the predicted output, a direct worst-case almost-optimal filter within the set membership framework is presented.

Original language	English
Title of host publication	Proceedings of the 2015 Chinese Intelligent Systems Conference
Editors	Hongbo Li, Weicun Zhang, Yingmin Jia, Junping Du
Publisher	Springer Verlag
Pages	183-193
Number of pages	11
ISBN (Print)	9783662483848
DOIs	https://doi.org/10.1007/978-3-662-48386-2_20
Publication status	Published - 2016
Event	Chinese Intelligent Systems Conference, CISC 2015 - Yangzhou, China Duration: 1 Jan 2015 → …

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	359
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Chinese Intelligent Systems Conference, CISC 2015
Country/Territory	China
City	Yangzhou
Period	1/01/15 → …

Keywords

Data dropout
Data-driven filter
Networked system
Set membership filter

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10.1007/978-3-662-48386-2_20

Cite this

Xia, Y., Dai, L., Xie, W., & Gao, Y. (2016). Data-driven filter design for linear networked systems with bounded noise. In H. Li, W. Zhang, Y. Jia, & J. Du (Eds.), Proceedings of the 2015 Chinese Intelligent Systems Conference (pp. 183-193). (Lecture Notes in Electrical Engineering; Vol. 359). Springer Verlag. https://doi.org/10.1007/978-3-662-48386-2_20

@inproceedings{8b29f8d51d294b8587c1ab4714b5c81a,

title = "Data-driven filter design for linear networked systems with bounded noise",

abstract = "Considering the case that the mathematical model of control plant is unavailable, this paper is concerned with the problem of data-driven filtering for linear networked systems with bounded noise and transmission data dropouts. One merit of the design is that the filter can be directly employed without identifying the model. To overcome the effect of data dropouts during the transmission, an output predictor is designed based only on the received output and input of the system. By utilizing the predicted output, a direct worst-case almost-optimal filter within the set membership framework is presented.",

keywords = "Data dropout, Data-driven filter, Networked system, Set membership filter",

author = "Yuanqing Xia and Li Dai and Wen Xie and Yulong Gao",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; Chinese Intelligent Systems Conference, CISC 2015 ; Conference date: 01-01-2015",

year = "2016",

doi = "10.1007/978-3-662-48386-2_20",

language = "English",

isbn = "9783662483848",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "183--193",

editor = "Hongbo Li and Weicun Zhang and Yingmin Jia and Junping Du",

booktitle = "Proceedings of the 2015 Chinese Intelligent Systems Conference",

address = "Germany",

}

Xia, Y, Dai, L, Xie, W & Gao, Y 2016, Data-driven filter design for linear networked systems with bounded noise. in H Li, W Zhang, Y Jia & J Du (eds), Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol. 359, Springer Verlag, pp. 183-193, Chinese Intelligent Systems Conference, CISC 2015, Yangzhou, China, 1/01/15. https://doi.org/10.1007/978-3-662-48386-2_20

Data-driven filter design for linear networked systems with bounded noise. / Xia, Yuanqing; Dai, Li; Xie, Wen et al.
Proceedings of the 2015 Chinese Intelligent Systems Conference. ed. / Hongbo Li; Weicun Zhang; Yingmin Jia; Junping Du. Springer Verlag, 2016. p. 183-193 (Lecture Notes in Electrical Engineering; Vol. 359).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Data-driven filter design for linear networked systems with bounded noise

AU - Xia, Yuanqing

AU - Dai, Li

AU - Xie, Wen

AU - Gao, Yulong

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2016.

PY - 2016

Y1 - 2016

N2 - Considering the case that the mathematical model of control plant is unavailable, this paper is concerned with the problem of data-driven filtering for linear networked systems with bounded noise and transmission data dropouts. One merit of the design is that the filter can be directly employed without identifying the model. To overcome the effect of data dropouts during the transmission, an output predictor is designed based only on the received output and input of the system. By utilizing the predicted output, a direct worst-case almost-optimal filter within the set membership framework is presented.

AB - Considering the case that the mathematical model of control plant is unavailable, this paper is concerned with the problem of data-driven filtering for linear networked systems with bounded noise and transmission data dropouts. One merit of the design is that the filter can be directly employed without identifying the model. To overcome the effect of data dropouts during the transmission, an output predictor is designed based only on the received output and input of the system. By utilizing the predicted output, a direct worst-case almost-optimal filter within the set membership framework is presented.

KW - Data dropout

KW - Data-driven filter

KW - Networked system

KW - Set membership filter

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DO - 10.1007/978-3-662-48386-2_20

M3 - Conference contribution

AN - SCOPUS:84952684079

SN - 9783662483848

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BT - Proceedings of the 2015 Chinese Intelligent Systems Conference

A2 - Li, Hongbo

A2 - Zhang, Weicun

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PB - Springer Verlag

T2 - Chinese Intelligent Systems Conference, CISC 2015

Y2 - 1 January 2015

ER -

Data-driven filter design for linear networked systems with bounded noise

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