网络拓扑
非线性系统
控制理论(社会学)
遏制(计算机编程)
控制(管理)
计算机科学
订单(交换)
输出反馈
多智能体系统
非线性控制
拓扑(电路)
数学
人工智能
计算机网络
经济
财务
程序设计语言
物理
组合数学
量子力学
作者
Rongxiang Lu,Jie Wu,Xisheng Zhan,Huaicheng Yan
出处
期刊:Neurocomputing
[Elsevier]
日期:2024-03-24
卷期号:585: 127580-127580
被引量:2
标识
DOI:10.1016/j.neucom.2024.127580
摘要
This paper studies the fixed-time containment of the second-order nonlinear multi-agent system (MAS) with control accompanied by switching topologies and event-triggered communication. The agent is subjected to unknown nonlinear dynamics. A fixed-time RBF observer was constructed based on information obtained from neural networks and event-triggered communication. By combining the controller with the identification information from the observer, it is demonstrated that the system can achieve practical fixed-time output feedback containment and exclude Zeno behavior during the control process. The effectiveness of the proposed event-triggered control method for fixed-time output feedback containment control of the second-order nonlinear MAS is verified by simulation examples.
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