Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks

Na Wang; Yang Liu

doi:10.1007/978-981-16-6320-8_2

Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks

Na Wang
, Yang Liu^*

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

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

Abstract

This paper addresses the resilient consensus problem of second-order multi-agent systems attacked by malicious agents. To solve the problem, an event-triggered mean subsequence reduced (E-MSR) algorithm is proposed. It means some extreme values of its neighbor nodes, which are most likely to be malicious nodes, will be ignored in the protocol generation of an agent. Under the event-triggered strategy, only when the triggering condition is satisfied, the agent sends its current state to its neighbor nodes to update their control algorithms, which effectively reduces the communication between agents. A numerical example is provided to demonstrate the effectiveness of the proposed approach.

Original language	English
Title of host publication	Proceedings of 2021 Chinese Intelligent Systems Conference
Editors	Yingmin Jia, Weicun Zhang, Yongling Fu, Zhiyuan Yu, Song Zheng
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	10-21
Number of pages	12
ISBN (Print)	9789811663192
DOIs	https://doi.org/10.1007/978-981-16-6320-8_2
State	Published - 2022
Event	17th Chinese Intelligent Systems Conference, CISC 2021 - Fuzhou, China Duration: 16 Oct 2021 → 17 Oct 2021

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	805 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	17th Chinese Intelligent Systems Conference, CISC 2021
Country/Territory	China
City	Fuzhou
Period	16/10/21 → 17/10/21

Keywords

Event-triggered control
Resilient consensus
Second-order multi-agent systems

Access to Document

10.1007/978-981-16-6320-8_2

Cite this

Wang, N., & Liu, Y. (2022). Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks. In Y. Jia, W. Zhang, Y. Fu, Z. Yu, & S. Zheng (Eds.), Proceedings of 2021 Chinese Intelligent Systems Conference (pp. 10-21). (Lecture Notes in Electrical Engineering; Vol. 805 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-6320-8_2

@inproceedings{9f38b516cd7149f1b0b66fcbfb5e96b6,

title = "Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks",

abstract = "This paper addresses the resilient consensus problem of second-order multi-agent systems attacked by malicious agents. To solve the problem, an event-triggered mean subsequence reduced (E-MSR) algorithm is proposed. It means some extreme values of its neighbor nodes, which are most likely to be malicious nodes, will be ignored in the protocol generation of an agent. Under the event-triggered strategy, only when the triggering condition is satisfied, the agent sends its current state to its neighbor nodes to update their control algorithms, which effectively reduces the communication between agents. A numerical example is provided to demonstrate the effectiveness of the proposed approach.",

keywords = "Event-triggered control, Resilient consensus, Second-order multi-agent systems",

author = "Na Wang and Yang Liu",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 17th Chinese Intelligent Systems Conference, CISC 2021 ; Conference date: 16-10-2021 Through 17-10-2021",

year = "2022",

doi = "10.1007/978-981-16-6320-8\_2",

language = "英语",

isbn = "9789811663192",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "10--21",

editor = "Yingmin Jia and Weicun Zhang and Yongling Fu and Zhiyuan Yu and Song Zheng",

booktitle = "Proceedings of 2021 Chinese Intelligent Systems Conference",

address = "德国",

}

Wang, N & Liu, Y 2022, Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks. in Y Jia, W Zhang, Y Fu, Z Yu & S Zheng (eds), Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol. 805 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 10-21, 17th Chinese Intelligent Systems Conference, CISC 2021, Fuzhou, China, 16/10/21. https://doi.org/10.1007/978-981-16-6320-8_2

Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks. / Wang, Na; Liu, Yang.
Proceedings of 2021 Chinese Intelligent Systems Conference. ed. / Yingmin Jia; Weicun Zhang; Yongling Fu; Zhiyuan Yu; Song Zheng. Springer Science and Business Media Deutschland GmbH, 2022. p. 10-21 (Lecture Notes in Electrical Engineering; Vol. 805 LNEE).

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

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N2 - This paper addresses the resilient consensus problem of second-order multi-agent systems attacked by malicious agents. To solve the problem, an event-triggered mean subsequence reduced (E-MSR) algorithm is proposed. It means some extreme values of its neighbor nodes, which are most likely to be malicious nodes, will be ignored in the protocol generation of an agent. Under the event-triggered strategy, only when the triggering condition is satisfied, the agent sends its current state to its neighbor nodes to update their control algorithms, which effectively reduces the communication between agents. A numerical example is provided to demonstrate the effectiveness of the proposed approach.

AB - This paper addresses the resilient consensus problem of second-order multi-agent systems attacked by malicious agents. To solve the problem, an event-triggered mean subsequence reduced (E-MSR) algorithm is proposed. It means some extreme values of its neighbor nodes, which are most likely to be malicious nodes, will be ignored in the protocol generation of an agent. Under the event-triggered strategy, only when the triggering condition is satisfied, the agent sends its current state to its neighbor nodes to update their control algorithms, which effectively reduces the communication between agents. A numerical example is provided to demonstrate the effectiveness of the proposed approach.

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KW - Resilient consensus

KW - Second-order multi-agent systems

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PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th Chinese Intelligent Systems Conference, CISC 2021

Y2 - 16 October 2021 through 17 October 2021

ER -

Resilient Consensus of Second-Order Multi-agent Systems Subject to Malicious Attacks

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