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

被引：0
作者：
Wu Y. [1 ]
Wang Z. [1 ]
Meng G. [1 ]
Liu J. [2 ]
机构：
[1] College of Automation, Shenyang Aerospace University, Shenyang
[2] State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang
来源：
AIMS Electronics and Electrical Engineering | 2024年 / 8卷 / 03期
基金：
中国国家自然科学基金;
关键词：
communication link faults; DoS attacks; event-triggered; multi-agent systems; neural networks;
D O I：
10.3934/electreng.2024015
中图分类号：
学科分类号：
摘要：
This paper investigates the consensus control problem for a class of nonlinear multiagent 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. © 2024 the Author(s), licensee AIMS Press.
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收藏
页码：322 / 339
页数：17
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