摘要
研究了具有变时滞的高阶随机Hopfield神经网络在有限时间内的控制同步.通过李雅普诺夫函数,有限时间内稳定性理论,随机微分方程理论和一些不等式方法,基于p-范数得到了新的有限时间内同步的充分条件.本文结论是对之前相关结论的推广.
In this paper,we study the finite-time control synchronization for high-order stochastic Hopfield neural networks with time-varying delays.Through the Lyapunov function,the finite time stability theory,the theory of stochastic differential equation and some inequality methods,some new and useful sufficient conditions on the in finite-time synchronization are obtained based on p-norm.The conclusion of this paper is the generalization of the previous related conclusions.
作者
蒲浩
蒋海军
胡成
冉杰
张转周
PU Hao;JIANG Hai-Jun;HU Cheng;RAN Jie;ZHANG Zhuan-zhou(School of Mathematics,Zunyi Normal College,Zunyi Guizhou 563002,China;College of Mathematics and System Sciences,Xinjiang University,Urumqi 830046,China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第11期67-73,共7页
Journal of Southwest University(Natural Science Edition)
基金
国家自然科学基金项目(71461027)
贵州省教育厅青年科技人才成长项目(黔教合KY字[2018]313号,黔教合KY字[2018]315号,黔教合KY字[2017]255号,黔教合KY字[2017]256号)
