Distributed estimation based on weighted data aggregation over delayed sensor networks

Adachi, Ryosuke; Yamashita, Yuh; Kobayashi, Koichi

doi:10.1016/j.ifacsc.2020.100109


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Distributed estimation based on weighted data aggregation over delayed sensor networks

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/87362

Title:	Distributed estimation based on weighted data aggregation over delayed sensor networks
Authors:	Adachi, Ryosuke Browse this author →KAKEN DB
	Yamashita, Yuh Browse this author →KAKEN DB
	Kobayashi, Koichi Browse this author →KAKEN DB
Keywords:	Distributed estimation
Keywords:	Sensor network
Issue Date:	Dec-2020
Publisher:	Elsevier
Journal Title:	IFAC Journal of Systems and Control
Volume:	14
Start Page:	100109
Publisher DOI:	10.1016/j.ifacsc.2020.100109
Abstract:	In this paper, data aggregation laws and distributed observers over delayed sensor networks with any topology are proposed. In the proposed method, each node compensates communication delays of received data. For the delay compensation, each node predicts the future output based on state space models. To stabilize the aggregation data in any networks, the received data are multiplied by weight coefficients before the aggregation. The stability condition of the weighted aggregation laws is expressed by a weighted adjacency matrix. The aggregated value of the measurements at each node is expressed by a linear time-varying function of the current state. To estimate the state, we utilize the Kalman filters as the distributed observers. The effectiveness of the proposed method is confirmed by a numerical simulation. (c) 2020 Elsevier Ltd. All rights reserved.
Rights:	©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Rights:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Type:	article (author version)
URI:	http://hdl.handle.net/2115/87362
Appears in Collections:	情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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