计算机科学
控制器(灌溉)
多智能体系统
事件(粒子物理)
估计员
分布式计算
方案(数学)
控制理论(社会学)
理论(学习稳定性)
控制(管理)
上下界
共识
国家(计算机科学)
人工智能
数学
算法
机器学习
数学分析
统计
物理
量子力学
农学
生物
作者
Tongtong Chen,Fuyong Wang,Meiling Feng,Chengyi Xia,Zengqiang Chen
出处
期刊:Neurocomputing
[Elsevier BV]
日期:2023-12-13
卷期号:569: 127129-127129
被引量:2
标识
DOI:10.1016/j.neucom.2023.127129
摘要
This paper investigates the fully distributed consensus control problem for general linear multi-agent systems via dynamic event-triggered scheme. To address the need to reduce network communication burdens and avoid involving any global features of multi-agent networks, a novel fully distributed controller based on the open-loop state estimator of agents is presented. To improve anti-interference ability and practicability of the proposed approach, an event-triggered strategy which can guarantee a precise lower bound of triggering intervals for each follower is designed with a virtual internal variable. Then, the stability of the multi-agent systems is analyzed without any global network information. Several simulation experiments are conducted to illustrate theoretical results.
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