一类e-HR神经元模型的网络同步控制  

Network synchronization control of flux e-HR neural model

作　　者：刘畅[1] 许云召 LIU Chang;XU Yun-zhao(School of Mathematics and Information Engineering,Xinyang Vocational and Technical College,Xinyang 464000,China)

机构地区：[1]信阳职业技术学院数学与信息工程学院,河南信阳464000

出　　处：《陕西理工大学学报（自然科学版）》2021年第5期86-92,共7页Journal of Shaanxi University of Technology:Natural Science Edition

摘　　要：基于磁通e-HR神经元模型,通过构造合适的李雅普诺夫函数,提出了一种新的非线性自适应反馈同步控制准则,研究了该模型耦合之后的网络同步,发现该方法对系统达到网络同步是可行性的,从而说明自适应控制器的选取也是有效的。最后,通过数值模拟验证了所提出的同步准则的有效性。Based on the flux e-HR neuron model,a new nonlinear adaptive feedback synchronization control rule is proposed by constructing a suitable Lyapunov function to study the network synchronization after the model is coupled.It is found that the method is feasible for the system to achieve network synchronization,so that the selection of adaptive controller is also effective.Finally,the validity of the proposed synchronization criterion is verified by numerical simulation.

关 键 词：磁通e-HR神经元模型 李雅普诺夫函数 自适应控制 网络同步 

分 类 号：O193[理学—数学]