Stochastic convergence problems on switching networks: An event-triggered method

被引：1
|
作者：
Luo, Mei [1 ,2 ,3 ]
Wang, JinRong [1 ,2 ,3 ]
Meng, Deyuan [4 ,5 ]
机构：
[1] Guizhou Univ, Dept Math, Guiyang 550025, Guizhou, Peoples R China
[2] Guizhou Univ, Supercomp Algorithm & Applicat Lab, Guiyang 550025, Guizhou, Peoples R China
[3] Guian Sci Innovat Co, Guiyang 550025, Guizhou, Peoples R China
[4] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China
[5] Beihang Univ BUAA, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2023年 / 170卷
基金：
中国国家自然科学基金;
关键词：
Stochastic convergence; Double-integrator dynamics; Event-triggered protocol; Switching topology; Singular triggering; Zeno phenomenon; LINEAR MULTIAGENT SYSTEMS; CONSENSUS; STABILITY;
D O I：
10.1016/j.chaos.2023.113405
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
The paper investigates stochastic convergence problems of multi-agent systems with double-integrator dy-namics. Based on the consideration of external interference and dynamic topology, a robust controller is proposed to avoid continuous communication between agents via time-dependent event-triggered protocol. The advantage of time-dependent event-triggered protocol is that its effectiveness does not decrease with the increase of the number of agents. Then, in the framework of fixed topology and Markov switching topologies, the convergence conditions are obtained respectively. In addition, singular triggering and Zeno phenomena are excluded. Finally, the effectiveness of the proposed theory is verified by numerical simulations.
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页数：10
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