Neural networks-based event-triggered consensus control for nonlinear multiagent systems with communication link faults and DoS attacks-Reference-Cited by-同舟云学术

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

Published:2024 Issue:3 Volume:8 Page:322-339
ISSN:2578-1588
Container-title:AIMS Electronics and Electrical Engineering
language:
Short-container-title:ELECTRENG

Author:

Wu Yanming¹,Wang Zelun¹,Meng Guanglei¹,Liu Jinguo²

Affiliation:

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

Abstract

<abstract><p>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.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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