Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks

Yanming Wu; Zelun Wang; Guanglei Meng; Jinguo Liu; Yanming Wu; Zelun Wang; Guanglei Meng; Jinguo Liu

doi:10.3934/electreng.2024015

AIMS Electronics and Electrical Engineering

2024, Volume 8, Issue 3: 322-339. doi: 10.3934/electreng.2024015

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Research article Topical Sections

Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks

1.
College of Automation, Shenyang Aerospace University, Shenyang 110135, China
2.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Received: 14 April 2024 Revised: 28 May 2024 Accepted: 14 June 2024 Published: 20 June 2024

This paper investigates the consensus control problem for a class of nonlinear multi-agent systems (MASs) with communication link faults and denial-of-service (DoS) attacks. First, considering simultaneously the communication link faults and DoS attacks, an adaptive event-triggered control strategy of MASs is proposed based on distributed adjacency error signals, and the avoidance of the Zeno phenomenon is analyzed. In addition, the unknown nonlinear functions can be approximated by the RBF neural networks. Then, based on Lyapunov stability analysis and induction, it is proved that all signals of MASs are uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control scheme is verified by a simulation example.
- neural networks,
- event-triggered,
- multi-agent systems,
- communication link faults,
- DoS attacks
Citation: Yanming Wu, Zelun Wang, Guanglei Meng, Jinguo Liu. Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks[J]. AIMS Electronics and Electrical Engineering, 2024, 8(3): 322-339. doi: 10.3934/electreng.2024015

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Abstract

This paper investigates the consensus control problem for a class of nonlinear multi-agent systems (MASs) with communication link faults and denial-of-service (DoS) attacks. First, considering simultaneously the communication link faults and DoS attacks, an adaptive event-triggered control strategy of MASs is proposed based on distributed adjacency error signals, and the avoidance of the Zeno phenomenon is analyzed. In addition, the unknown nonlinear functions can be approximated by the RBF neural networks. Then, based on Lyapunov stability analysis and induction, it is proved that all signals of MASs are uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control scheme is verified by a simulation example.

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