Dynamic event-triggered consensus control for nonlinear multi-agent systems under DoS attacks

Qiushi Wang; Hongwei Ren; Zhiping Peng; Junlin Huang; Qiushi Wang; Hongwei Ren; Zhiping Peng; Junlin Huang

doi:10.3934/mbe.2024146

Mathematical Biosciences and Engineering

2024, Volume 21, Issue 2: 3304-3318. doi: 10.3934/mbe.2024146

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Research article

Dynamic event-triggered consensus control for nonlinear multi-agent systems under DoS attacks

1.
School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China
2.
School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132000, China

Academic Editor: Yang Kuang

Received: 27 October 2023 Revised: 23 December 2023 Accepted: 22 January 2024 Published: 04 February 2024

In this paper, we investigated leader-following consensus control for nonlinear multi-agent systems (MASs) experiencing denial-of-service (DoS) attacks. We proposed a distributed control strategy incorporating an adaptive scheme and a state feedback control gain to eliminate the effects of system nonlinear dynamics and uncertainties. In addition, we introduced a dynamic event-triggered control (DETC) to minimize the utilization of communication resources. Finally, we provided simulation results to show the validity of the proposed approach.
- nonlinear multi-agent systems,
- DoS attacks,
- dynamic event-triggered mechanism
Citation: Qiushi Wang, Hongwei Ren, Zhiping Peng, Junlin Huang. Dynamic event-triggered consensus control for nonlinear multi-agent systems under DoS attacks[J]. Mathematical Biosciences and Engineering, 2024, 21(2): 3304-3318. doi: 10.3934/mbe.2024146

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Abstract

In this paper, we investigated leader-following consensus control for nonlinear multi-agent systems (MASs) experiencing denial-of-service (DoS) attacks. We proposed a distributed control strategy incorporating an adaptive scheme and a state feedback control gain to eliminate the effects of system nonlinear dynamics and uncertainties. In addition, we introduced a dynamic event-triggered control (DETC) to minimize the utilization of communication resources. Finally, we provided simulation results to show the validity of the proposed approach.

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