计算机科学
控制理论(社会学)
重置(财务)
上下界
多智能体系统
观察员(物理)
区间(图论)
协议(科学)
国家(计算机科学)
控制(管理)
共识
线性矩阵不等式
事件(粒子物理)
数学优化
数学
算法
人工智能
数学分析
病理
经济
替代医学
物理
组合数学
金融经济学
医学
量子力学
作者
Ning Zhao,Xisheng Zhan,Jie Wu,Tao Han,Hao Yan
出处
期刊:Neurocomputing
[Elsevier]
日期:2024-03-01
卷期号:574: 127268-127268
被引量:1
标识
DOI:10.1016/j.neucom.2024.127268
摘要
In this paper, we investigate the leader-following guaranteed performance consensus problem for multi-agent systems(MASs) controlled by event-triggered under external disturbances. First, a disturbance observer is designed for each follower, which can be used to efficiently estimate external disturbances. Second, to reduce the waste of communication resources, a new distributed event-triggered strategy based on the state estimation of neighboring agents is presented, which does not need continuous communication among agents. And the growing estimation error is reset by communication updates. The analysis illustrates that Zeno behavior can be effectively averted by formulating a lower bound on the number of normals for the minimum inter-event interval. Also, based on the above proposed state feedback consensus protocol with guaranteed performance, sufficient conditions are derived to guarantee that a MASs can achieve leader-following consensus. In addition, the consensus criterion with guaranteed performance is put forward in the form of a linear matrix inequality. The cost of guaranteed performance with leader-following structural properties is also established. At last, an example of numerical simulation is presented to confirm the derived analytical solution.
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