Consensus Control of Multi-Agent Systems by Intermittent Brownian Noise Stabilization Scheme

被引:2
作者
Cai, Liangyi [1 ,2 ,3 ]
Zhang, Bo [1 ,2 ,3 ]
Xing, Mali [1 ]
Mo, Haoyi [4 ]
Zhou, Xin [5 ]
机构
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong HongKong Macao Joint Lab Smart Discrete, Guangzhou 510006, Guangdong, Peoples R China
[3] Minist Educ GDUT, Key Lab Intelligent Detect & Internet Things Mfg, Guangzhou 510006, Peoples R China
[4] Guangdong Univ Technol, Sch Appl Math, Guangzhou 510006, Guangdong, Peoples R China
[5] Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
关键词
Consensus; intermittent Brownian noise; multi-agent systems; stochastic stabilization; STOCHASTIC STABILIZATION; DIFFERENTIAL-EQUATIONS; NETWORKS; LEADER; DESTABILIZATION; SYNCHRONIZATION; DELAYS;
D O I
10.1109/ACCESS.2024.3352441
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study explores the consensus of multi-agent systems in the presence of ambient noise using intermittent Brownian noise stabilization. Firstly, the research provides a mathematical explanation of multi-agent systems and intermittent stochastic noise, and establishes a sufficient condition for multi-agent systems to achieve consensus using intermittent stochastic noise control input. Secondly, a consensus criterion is proposed for a class of multi-agent systems that are affected by ambient noise. Finally, the simulation results demonstrate that the intermittent stochastic noise stabilization technique can facilitate the establishment of consensus in multi-agent systems.
引用
收藏
页码:8526 / 8535
页数:10
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