State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors

Hao Yu; Fei Hao; Tongwen Chen

doi:10.1109/CDC40024.2019.9029912

State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors

Hao Yu, Fei Hao, Tongwen Chen

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

Abstract

This paper studies event-triggered state estimation with energy harvesting sensors. To preserve the Gaussianity, a new stochastic event-triggering condition based on quantized-level battery energy is proposed. Then, the corresponding minimum mean squared error estimator is provided. It is proved that, under the proposed event-triggered transmission policies, the battery energy can always cover the consumption caused by information communications. Moreover, the relationship between the energy harvesting process and the transmission performance is investigated. Finally, numerical simulations are provided to illustrate the efficiency and feasibility of the obtained results.

Original language	English
Title of host publication	2019 IEEE 58th Conference on Decision and Control, CDC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3892-3897
Number of pages	6
ISBN (Electronic)	9781728113982
DOIs	https://doi.org/10.1109/CDC40024.2019.9029912
Publication status	Published - Dec 2019
Externally published	Yes
Event	58th IEEE Conference on Decision and Control, CDC 2019 - Nice, France Duration: 11 Dec 2019 → 13 Dec 2019

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2019-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	58th IEEE Conference on Decision and Control, CDC 2019
Country/Territory	France
City	Nice
Period	11/12/19 → 13/12/19

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10.1109/CDC40024.2019.9029912

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Yu, H., Hao, F., & Chen, T. (2019). State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors. In 2019 IEEE 58th Conference on Decision and Control, CDC 2019 (pp. 3892-3897). Article 9029912 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC40024.2019.9029912

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title = "State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors",

abstract = "This paper studies event-triggered state estimation with energy harvesting sensors. To preserve the Gaussianity, a new stochastic event-triggering condition based on quantized-level battery energy is proposed. Then, the corresponding minimum mean squared error estimator is provided. It is proved that, under the proposed event-triggered transmission policies, the battery energy can always cover the consumption caused by information communications. Moreover, the relationship between the energy harvesting process and the transmission performance is investigated. Finally, numerical simulations are provided to illustrate the efficiency and feasibility of the obtained results.",

author = "Hao Yu and Fei Hao and Tongwen Chen",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 58th IEEE Conference on Decision and Control, CDC 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

year = "2019",

month = dec,

doi = "10.1109/CDC40024.2019.9029912",

language = "English",

series = "Proceedings of the IEEE Conference on Decision and Control",

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

pages = "3892--3897",

booktitle = "2019 IEEE 58th Conference on Decision and Control, CDC 2019",

address = "United States",

}

Yu, H, Hao, F & Chen, T 2019, State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors. in 2019 IEEE 58th Conference on Decision and Control, CDC 2019., 9029912, Proceedings of the IEEE Conference on Decision and Control, vol. 2019-December, Institute of Electrical and Electronics Engineers Inc., pp. 3892-3897, 58th IEEE Conference on Decision and Control, CDC 2019, Nice, France, 11/12/19. https://doi.org/10.1109/CDC40024.2019.9029912

State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors. / Yu, Hao; Hao, Fei; Chen, Tongwen.
2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 3892-3897 9029912 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December).

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

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AU - Chen, Tongwen

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N2 - This paper studies event-triggered state estimation with energy harvesting sensors. To preserve the Gaussianity, a new stochastic event-triggering condition based on quantized-level battery energy is proposed. Then, the corresponding minimum mean squared error estimator is provided. It is proved that, under the proposed event-triggered transmission policies, the battery energy can always cover the consumption caused by information communications. Moreover, the relationship between the energy harvesting process and the transmission performance is investigated. Finally, numerical simulations are provided to illustrate the efficiency and feasibility of the obtained results.

AB - This paper studies event-triggered state estimation with energy harvesting sensors. To preserve the Gaussianity, a new stochastic event-triggering condition based on quantized-level battery energy is proposed. Then, the corresponding minimum mean squared error estimator is provided. It is proved that, under the proposed event-triggered transmission policies, the battery energy can always cover the consumption caused by information communications. Moreover, the relationship between the energy harvesting process and the transmission performance is investigated. Finally, numerical simulations are provided to illustrate the efficiency and feasibility of the obtained results.

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DO - 10.1109/CDC40024.2019.9029912

M3 - Conference contribution

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T3 - Proceedings of the IEEE Conference on Decision and Control

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 58th IEEE Conference on Decision and Control, CDC 2019

Y2 - 11 December 2019 through 13 December 2019

ER -

Yu H, Hao F, Chen T. State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors. In 2019 IEEE 58th Conference on Decision and Control, CDC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 3892-3897. 9029912. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC40024.2019.9029912

State estimation under stochastic event-triggering conditions with quantized-level energy-harvesting sensors

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