文献类型：期刊文献

英文题名：Fixed-Time Bipartite Containment Control for Heterogeneous Multiagent Systems Under DoS Attacks: An Event-Triggered Mechanism

作者：Wang, Li[1];Yan, Huaicheng[2,3];Hu, Xiao[4];Li, Zhichen[1];Wang, Meng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Weifang Univ, Coll Machinery & Automat, Weifang 261061, Peoples R China;[4]Xian Univ Technol, Sch Elect Engn, Xian 710048, Peoples R China

年份：2025

卷号：55

期号：4

起止页码：2782

外文期刊名：IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

收录：;EI(收录号：20250517770740);WOS:【SCI-EXPANDED(收录号:WOS:001406041500001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62333005, Grant 62373152, and Grant 62403200; in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00105; in part by the Shanghai International Science and Technology Cooperation Project under Grant 24510714000; in part by the Postdoctoral Innovative Talent Support Program under Grant BX20240115; and in part by the China Postdoctoral Science Foundation Program under Grant 2024M750905.

语种：英文

外文关键词：Event detection; Detection algorithms; Switches; Multi-agent systems; Topology; Control systems; Vehicle dynamics; Stability criteria; Asymptotic stability; Smart manufacturing; Denial of Service (DoS) attacks; event-triggered control; feedback control; fixed-time stability; nonlinear heterogeneous multiagent systems (MASs)

摘要：This article investigates secure bipartite containment control with the event-triggered mechanism (ETM) for nonlinear heterogeneous multiagent systems (MASs) via the feedback control in fixed time. A novel attacks detection algorithm and an updated label strategy are designed to judge the occurrence of Denial of Service (DoS) attacks or not. It can search for new multiple directed spanning trees for MASs with multiple leaders to decrease the negative influence when attacks happen. In this case, the dynamic ETM is adopted by adjusting the triggered threshold online to save resource consumption. The state-feedback control and output-feedback control are selectively employed according to the situation where the state value of the follower is available or not. The settling time is further relaxed by fixed-time stability theory and can be preset in advance. By theoretical discussion, conditions of achieving bipartite containment control are derived by Lyapunov functions. Finally, the effectiveness of the established control method is verified by simulations.