Dynamic Event-Triggered Fuzzy Adaptive Resilient Consensus Control for Nonlinear MASs Under DoS Attacks

被引:0
作者
Zhang, Jun [1 ]
Zuo, Yi [1 ]
Tong, Shaocheng [1 ,2 ]
机构
[1] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[2] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2024年 / 54卷 / 11期
基金
中国国家自然科学基金;
关键词
Observers; Consensus control; Topology; Denial-of-service attack; Communication channels; Computer crime; Heuristic algorithms; Denial-of-service (DoS) attacks; dynamic event-trigged communication mechanism; FLSs; nonlinear multiagent systems (MASs); resilient consensus control; MULTIAGENT SYSTEMS; OUTPUT REGULATION; TRACKING CONTROL;
D O I
10.1109/TSMC.2024.3426931
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the adaptive fuzzy dynamic event-triggered output feedback resilient consensus control issue is investigated for nonlinear multiagent systems (MASs) subject to denial-of-service (DoS) attacks. Fuzzy logic systems (FLSs) are employed to model uncertain agents, and a state observer is constructed to estimate unmeasurable states. An event-triggered distributed resilient observer is designed to save the communication resources between agents, and estimate the unknown leader and its high-order derivatives in case of the communication topology being interrupted by DoS attacks. By the designed state observer and distributed resilient observer, a dynamic event-triggered resilient consensus control method is presented. It is proved that the controlled MASs are stable, and the followers can track the leader under DoS attacks. Moreover, the Zeno behavior can be excluded. Finally, we apply the developed resilient consensus control algorithm to multiple unmanned surface vehicles (USVs), the simulation results verify its effectiveness.
引用
收藏
页码:6683 / 6693
页数:11
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