摘要
研究了带有时变时滞的忆阻神经网络同步问题.通过运用菲利波夫解框架、微分包含理论、自适应控制技术,用一种新颖的李雅普诺夫函数设计了驱动——响应系统的自适应同步规则,获得了带有时滞的忆阻神经网络的自适应同步条件.最后,通过仿真实验验证了同步条件的正确性.
In this paper,we study the synchronization of memristive neural networks with time-varying delays.Using the framework of Filippov solution,the differential inclusion theory and the adaptive control technique in combination with a novel Lyapunov function,we obtain a class of sufficient adaptive synchronization criteria in terms of memristive neural networks.Finally,the validity of the synchronization condition is verified by means of simulation experiments.
作者
谢涛
XIE Tao(Information Center, Southwest University, Chongqing 400715, China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2018年第5期178-184,共7页
Journal of Southwest University(Natural Science Edition)
基金
重庆市科委前沿与基础研究项目(ctsc2014cyjA40053)
中央高校基本科研业务费项目(XDJK2013C143)
关键词
忆阻神经网络
时滞
自适应控制
同步条件
memristive neural network
time-varying delay
adaptive control
synchronization
