文献类型：期刊文献

英文题名：Mean Square Consensus under Coopetitive Social Networks with Communication Noise

作者：Cai, Hanzhe[1]; Yuan, Fanli[1]; Liang, Haili[1]; Zhou, Zhao[2]

机构：[1] Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, 200444, China; [2] East China University of Science and Technology, Ministry of Education, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Shanghai, 200237, China

年份：2021

卷号：2021-July

起止页码：800

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20214311046493)

语种：英文

外文关键词：Stochastic models - System stability - Stochastic systems - Undirected graphs

摘要：This paper aims to investigate a stochastic Altafini model, in which individuals are disturbed by the communication noise. We use coopetitive networks to describe their affiliation of classes. Different from the general situations with noises, when the opinion values in the classes converge, the noise will decrease. We consider the communication noise, when the differences of opinion values are larger, the influences of noise are greater. When the opinion values are reaching to biparite consensus, the influences of noise are decreasing, such a design is more in line with the reality. By constructing the appropriate Lyapunov function, the conditions for the stochastic stability of the system are obtained. We get the conclusion of mean square biparite consensus. In addition, numerical simulation results can verify the theoretical results. ? 2021 Technical Committee on Control Theory, Chinese Association of Automation.