Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems under DoS Attacks

Xianggui Guo; Dongyu Zhang; Jianliang Wang; Choon Ki Ahn

doi:10.1109/JAS.2021.1004132

Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems under DoS Attacks

Xianggui Guo, Dongyu Zhang, Jianliang Wang, Choon Ki Ahn

Research output: Contribution to journal › Article › peer-review

97 Citations (Scopus)

Abstract

This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.

Original language	English
Article number	9497874
Pages (from-to)	1644-1656
Number of pages	13
Journal	IEEE/CAA Journal of Automatica Sinica
Volume	8
Issue number	10
DOIs	https://doi.org/10.1109/JAS.2021.1004132
Publication status	Published - 2021 Oct

Bibliographical note

Funding Information:
Manuscript received March 12, 2021; revised April 7, 2021; accepted May 7, 2021. This work was supported by the National Natural Science Foundation of China (61773056), the Scientific and Technological Innovation Foundation of Shunde Graduate School, University of Science and Technology Beijing (USTB) (BK19AE018), and the Fundamental Research Funds for the Central Universities of USTB (FRF-TP-20-09B, 230201606500061, FRF-DF-20-35, FRF-BD-19-002A). The work of J. L. Wang was supported by Zhejiang Natural Science Foundation (LD21F 030001). The work of C. K. Ahn was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and Information and Communications Technology) (NRF-2020R1A2C1005449). Recommended by Associate Editor Weinan Gao. (Corresponding author: Choon Ki Ahn.) Citation: X. G. Guo, D. Y. Zhang, J. L. Wang, and C. K. Ahn, “Adaptive memory event-triggered observer-based control for nonlinear multi-agent systems under dos attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644–1656, Oct. 2021.

Publisher Copyright:
© 2014 Chinese Association of Automation.

Keywords

Adaptive memory event-triggered mechanism (AMETM)
compensation mechanism
denial-of-service (DoS) attacks
nonlinear multi-agent systems (MASs)
observer-based anti-disturbance control

ASJC Scopus subject areas

Control and Systems Engineering
Information Systems
Control and Optimization
Artificial Intelligence

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10.1109/JAS.2021.1004132

Cite this

@article{1147fb12993d439e971e19e813259b9d,

title = "Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems under DoS Attacks",

abstract = "This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.",

keywords = "Adaptive memory event-triggered mechanism (AMETM), compensation mechanism, denial-of-service (DoS) attacks, nonlinear multi-agent systems (MASs), observer-based anti-disturbance control",

author = "Xianggui Guo and Dongyu Zhang and Jianliang Wang and Ahn, {Choon Ki}",

note = "Funding Information: Manuscript received March 12, 2021; revised April 7, 2021; accepted May 7, 2021. This work was supported by the National Natural Science Foundation of China (61773056), the Scientific and Technological Innovation Foundation of Shunde Graduate School, University of Science and Technology Beijing (USTB) (BK19AE018), and the Fundamental Research Funds for the Central Universities of USTB (FRF-TP-20-09B, 230201606500061, FRF-DF-20-35, FRF-BD-19-002A). The work of J. L. Wang was supported by Zhejiang Natural Science Foundation (LD21F 030001). The work of C. K. Ahn was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and Information and Communications Technology) (NRF-2020R1A2C1005449). Recommended by Associate Editor Weinan Gao. (Corresponding author: Choon Ki Ahn.) Citation: X. G. Guo, D. Y. Zhang, J. L. Wang, and C. K. Ahn, “Adaptive memory event-triggered observer-based control for nonlinear multi-agent systems under dos attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644–1656, Oct. 2021. Publisher Copyright: {\textcopyright} 2014 Chinese Association of Automation.",

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AU - Ahn, Choon Ki

N1 - Funding Information: Manuscript received March 12, 2021; revised April 7, 2021; accepted May 7, 2021. This work was supported by the National Natural Science Foundation of China (61773056), the Scientific and Technological Innovation Foundation of Shunde Graduate School, University of Science and Technology Beijing (USTB) (BK19AE018), and the Fundamental Research Funds for the Central Universities of USTB (FRF-TP-20-09B, 230201606500061, FRF-DF-20-35, FRF-BD-19-002A). The work of J. L. Wang was supported by Zhejiang Natural Science Foundation (LD21F 030001). The work of C. K. Ahn was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and Information and Communications Technology) (NRF-2020R1A2C1005449). Recommended by Associate Editor Weinan Gao. (Corresponding author: Choon Ki Ahn.) Citation: X. G. Guo, D. Y. Zhang, J. L. Wang, and C. K. Ahn, “Adaptive memory event-triggered observer-based control for nonlinear multi-agent systems under dos attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 10, pp. 1644–1656, Oct. 2021. Publisher Copyright: © 2014 Chinese Association of Automation.

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N2 - This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.

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Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems under DoS Attacks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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