Event-Triggered Cooperative Unscented Kalman Filtering

Weihao Song; Jianan Wang; Chunyan Wang; Jiayuan Shan

doi:10.1109/ICARCV.2018.8581328

Event-Triggered Cooperative Unscented Kalman Filtering

Weihao Song, Jianan Wang, Chunyan Wang, Jiayuan Shan

School of Aerospace Engineering

Beijing Institute of Technology

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

2 Citations (Scopus)

Abstract

In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.

Original language	English
Title of host publication	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1004-1009
Number of pages	6
ISBN (Electronic)	9781538695821
DOIs	https://doi.org/10.1109/ICARCV.2018.8581328
Publication status	Published - 18 Dec 2018
Event	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 - Singapore, Singapore Duration: 18 Nov 2018 → 21 Nov 2018

Publication series

Name	2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Conference

Conference	15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
Country/Territory	Singapore
City	Singapore
Period	18/11/18 → 21/11/18

Access to Document

10.1109/ICARCV.2018.8581328

Cite this

Song, W., Wang, J., Wang, C., & Shan, J. (2018). Event-Triggered Cooperative Unscented Kalman Filtering. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 (pp. 1004-1009). Article 8581328 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICARCV.2018.8581328

Song, Weihao ; Wang, Jianan ; Wang, Chunyan et al. / Event-Triggered Cooperative Unscented Kalman Filtering. 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1004-1009 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

@inproceedings{aca18e9183a64d9c89af4cf165fdc101,

title = "Event-Triggered Cooperative Unscented Kalman Filtering",

abstract = "In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.",

author = "Weihao Song and Jianan Wang and Chunyan Wang and Jiayuan Shan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018 ; Conference date: 18-11-2018 Through 21-11-2018",

year = "2018",

month = dec,

day = "18",

doi = "10.1109/ICARCV.2018.8581328",

language = "English",

series = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1004--1009",

booktitle = "2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018",

address = "United States",

}

Song, W, Wang, J, Wang, C & Shan, J 2018, Event-Triggered Cooperative Unscented Kalman Filtering. in 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018., 8581328, 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1004-1009, 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, Singapore, Singapore, 18/11/18. https://doi.org/10.1109/ICARCV.2018.8581328

Event-Triggered Cooperative Unscented Kalman Filtering. / Song, Weihao; Wang, Jianan; Wang, Chunyan et al.
2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1004-1009 8581328 (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018).

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

TY - GEN

T1 - Event-Triggered Cooperative Unscented Kalman Filtering

AU - Song, Weihao

AU - Wang, Jianan

AU - Wang, Chunyan

AU - Shan, Jiayuan

PY - 2018/12/18

Y1 - 2018/12/18

N2 - In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.

AB - In this paper, the weighted average consensus-based unscented Kalman filtering combined with event-triggered communication mechanism is developed. Each sensor node chooses to transmit its latest measurement update to the corresponding remote estimator based on its own event-triggering condition. A sufficient condition is derived to guarantee that the estimation error is bounded in mean square. Finally, an illustrative example is presented to demonstrate the feasibility and effectiveness of the proposed algorithm.

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DO - 10.1109/ICARCV.2018.8581328

M3 - Conference contribution

AN - SCOPUS:85060818932

T3 - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

SP - 1004

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BT - 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018

Y2 - 18 November 2018 through 21 November 2018

ER -

Song W, Wang J, Wang C, Shan J. Event-Triggered Cooperative Unscented Kalman Filtering. In 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1004-1009. 8581328. (2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018). doi: 10.1109/ICARCV.2018.8581328

Event-Triggered Cooperative Unscented Kalman Filtering

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