Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations

Qingke Tan; Xiwang Dong; Fei Liu; Qingdong Li; Zhang Ren

doi:10.23919/ChiCC.2017.8028780

Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations

Qingke Tan
, Xiwang Dong
, Fei Liu
, Qingdong Li^*
, Zhang Ren

^*Corresponding author for this work

Beihang University

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

7 Scopus citations

Abstract

The problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.

Original language	English
Title of host publication	Proceedings of the 36th Chinese Control Conference, CCC 2017
Editors	Tao Liu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	8946-8951
Number of pages	6
ISBN (Electronic)	9789881563934
DOIs	https://doi.org/10.23919/ChiCC.2017.8028780
State	Published - 7 Sep 2017
Event	36th Chinese Control Conference, CCC 2017 - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017

Publication series

Name	Chinese Control Conference, CCC
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	36th Chinese Control Conference, CCC 2017
Country/Territory	China
City	Dalian
Period	26/07/17 → 28/07/17

Keywords

Cubature Information Filtering
Distributed Estimation
Intermittent Observations
Mobile Sensor Network
Weighted Average Consensus

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10.23919/ChiCC.2017.8028780

Cite this

Tan, Q., Dong, X., Liu, F., Li, Q., & Ren, Z. (2017). Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations. In T. Liu, & Q. Zhao (Eds.), Proceedings of the 36th Chinese Control Conference, CCC 2017 (pp. 8946-8951). Article 8028780 (Chinese Control Conference, CCC). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2017.8028780

@inproceedings{7ad5edfeb1c448bdb5d44abd1d076e76,

title = "Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations",

abstract = "The problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.",

keywords = "Cubature Information Filtering, Distributed Estimation, Intermittent Observations, Mobile Sensor Network, Weighted Average Consensus",

author = "Qingke Tan and Xiwang Dong and Fei Liu and Qingdong Li and Zhang Ren",

note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

year = "2017",

month = sep,

day = "7",

doi = "10.23919/ChiCC.2017.8028780",

language = "英语",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "8946--8951",

editor = "Tao Liu and Qianchuan Zhao",

booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",

address = "美国",

}

Tan, Q, Dong, X, Liu, F, Li, Q & Ren, Z 2017, Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations. in T Liu & Q Zhao (eds), Proceedings of the 36th Chinese Control Conference, CCC 2017., 8028780, Chinese Control Conference, CCC, IEEE Computer Society, pp. 8946-8951, 36th Chinese Control Conference, CCC 2017, Dalian, China, 26/07/17. https://doi.org/10.23919/ChiCC.2017.8028780

Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations. / Tan, Qingke; Dong, Xiwang; Liu, Fei et al.
Proceedings of the 36th Chinese Control Conference, CCC 2017. ed. / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. p. 8946-8951 8028780 (Chinese Control Conference, CCC).

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

TY - GEN

T1 - Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations

AU - Tan, Qingke

AU - Dong, Xiwang

AU - Liu, Fei

AU - Li, Qingdong

AU - Ren, Zhang

PY - 2017/9/7

Y1 - 2017/9/7

N2 - The problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.

AB - The problem of distributed state estimation for nonlinear systems with intermittent observations is considered in this paper and the algorithm of weighted average consensus-based cubature information filtering for mobile sensor networks is proposed by combining the advantages of the cubature information filtering and consensus algorithm. The nodes with observation packet losses can obtain the information contribution from neighbors in the sensor network and get the state estimations. Besides, the stochastic stability of the algorithm is analyzed for nonlinear systems. Finally, a numerical example of target tracking case study is provided to verify the effectiveness of the proposed filter.

KW - Cubature Information Filtering

KW - Distributed Estimation

KW - Intermittent Observations

KW - Mobile Sensor Network

KW - Weighted Average Consensus

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DO - 10.23919/ChiCC.2017.8028780

M3 - 会议稿件

AN - SCOPUS:85032216215

T3 - Chinese Control Conference, CCC

SP - 8946

EP - 8951

BT - Proceedings of the 36th Chinese Control Conference, CCC 2017

A2 - Liu, Tao

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - 36th Chinese Control Conference, CCC 2017

Y2 - 26 July 2017 through 28 July 2017

ER -

Weighted average consensus-based cubature information filtering for mobile sensor networks with intermittent observations

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