文献类型：期刊文献

英文题名：Containment of nonlinear multiagent systems under multiple attacks with event-triggered communication: a hierarchical approach

作者：Xia, Tianhao[1]; Yan, Huaicheng[1,2]; Gao, Sheng[1]; Yin, Wei[3]; Chang, Yufang[4]

机构：[1] Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education, East China University of Science and Technology, Shanghai, China; [2] College of Machinery and Automation, Weifang University, Weifang, China; [3] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China; [4] School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China

年份：2026

外文期刊名：International Journal of Systems Science

收录：EI(收录号：20260419960441)

语种：英文

外文关键词：Adaptive control systems - Computational methods - Control nonlinearities - Dynamics - Hierarchical systems - Lyapunov functions - Multi agent systems - Network layers

摘要：This article focuses on the containment control problem of nonlinear multiagent systems (MASs) under denial-of-service (DoS) and false data injection (FDI) attacks. A hierarchical design approach is employed to prevent FDI attacks on a single agent from affecting the dynamics of other agents in the network. Specifically, in the resilient layer, a dynamic event-triggered control method with a switching strategy is proposed to counteract DoS attacks while avoiding continuous communication among agents to reduce the communication burden. In the cyber-physical layer, a novel adaptive controller is used to compensate for FDI attack signals, and radial basis function (RBF) neural networks is employed to handle system nonlinearities. By utilising Lyapunov functions in both layers, it is proven that the containment control error can asymptotically converge. Finally, numerical simulations validate the effectiveness of the proposed method. ? 2025 Informa UK Limited, trading as Taylor & Francis Group.