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]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Weifang Univ, Coll Machinery & Automat, Weifang 261061, Peoples R China;[3]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China;[4]Hubei Univ Technol, Sch Elect & Elect Engn, Wuhan, Peoples R China

年份：2025

外文期刊名：INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001665772800001)】；

基金：This work is supported by National Natural Science Foundation of China (62333005), Innovation Program of Shanghai Municipal Education Commission (2021-01-07-00-02-E00105), and Shanghai International Science and Technology Cooperation Project (24510714000). National Natural Science Foundation of China (62503174), China University-Industry-Research Innovation Founds (2024IT032), and the opening project of the State Key Laboratory of Autonomous Intelligent Unmanned Systems (ZZKF2025-1-24).

语种：英文

外文关键词：Containment control; denial-of-service (DoS) attacks; false data injection (FDI) attacks; dynamic event-triggered mechanism; multiagent systems (MASs)

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.