Distributed Robust State Estimation of Uncertain Complex Networked Systems

Yufan Zhao; Yuezu Lv; Hao Yu

doi:10.1109/ICNC59488.2023.10462865

Distributed Robust State Estimation of Uncertain Complex Networked Systems

Yufan Zhao, Yuezu Lv^*, Hao Yu

^*Corresponding author for this work

Beijing Institute of Technology

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

Abstract

This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.

Original language	English
Title of host publication	2023 International Conference on Neuromorphic Computing, ICNC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	25-30
Number of pages	6
ISBN (Electronic)	9798350316889
DOIs	https://doi.org/10.1109/ICNC59488.2023.10462865
Publication status	Published - 2023
Event	2023 International Conference on Neuromorphic Computing, ICNC 2023 - Wuhan, China Duration: 15 Dec 2023 → 17 Dec 2023

Publication series

Name	2023 International Conference on Neuromorphic Computing, ICNC 2023

Conference

Conference	2023 International Conference on Neuromorphic Computing, ICNC 2023
Country/Territory	China
City	Wuhan
Period	15/12/23 → 17/12/23

Keywords

attack-free protocol
consensus problem
specific-time observer
unknown input

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10.1109/ICNC59488.2023.10462865

Cite this

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title = "Distributed Robust State Estimation of Uncertain Complex Networked Systems",

abstract = "This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.",

keywords = "attack-free protocol, consensus problem, specific-time observer, unknown input",

author = "Yufan Zhao and Yuezu Lv and Hao Yu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Neuromorphic Computing, ICNC 2023 ; Conference date: 15-12-2023 Through 17-12-2023",

year = "2023",

doi = "10.1109/ICNC59488.2023.10462865",

language = "English",

series = "2023 International Conference on Neuromorphic Computing, ICNC 2023",

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

pages = "25--30",

booktitle = "2023 International Conference on Neuromorphic Computing, ICNC 2023",

address = "United States",

}

Zhao, Y, Lv, Y & Yu, H 2023, Distributed Robust State Estimation of Uncertain Complex Networked Systems. in 2023 International Conference on Neuromorphic Computing, ICNC 2023. 2023 International Conference on Neuromorphic Computing, ICNC 2023, Institute of Electrical and Electronics Engineers Inc., pp. 25-30, 2023 International Conference on Neuromorphic Computing, ICNC 2023, Wuhan, China, 15/12/23. https://doi.org/10.1109/ICNC59488.2023.10462865

Distributed Robust State Estimation of Uncertain Complex Networked Systems. / Zhao, Yufan; Lv, Yuezu ; Yu, Hao.
2023 International Conference on Neuromorphic Computing, ICNC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 25-30 (2023 International Conference on Neuromorphic Computing, ICNC 2023).

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

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AU - Zhao, Yufan

AU - Lv, Yuezu

AU - Yu, Hao

PY - 2023

Y1 - 2023

N2 - This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.

AB - This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.

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KW - consensus problem

KW - specific-time observer

KW - unknown input

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BT - 2023 International Conference on Neuromorphic Computing, ICNC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 15 December 2023 through 17 December 2023

ER -

Distributed Robust State Estimation of Uncertain Complex Networked Systems

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Keywords

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