摘要
基于忆阻器分数阶时滞神经网络的研究是一个热点问题.该文主要研究了基于忆阻器分数阶时滞混沌神经网络的修正投影同步.结合分数阶微分不等式,得到了实现主动-被动系统获得同步的充分条件.其研究结果更具有一般性.相应的数值模拟证实了方法的有效性.
The discussion of fractional-order memristor-based neural networks with time delay is a hot topic. The modified projective synchronization of fractional-order memristor-based neural networks with time delay was investigated. By means of the fractional-order inequality,sufficient conditions for the modified projective synchronization of drive-response systems were achieved. The results obtained here are more general. The corresponding numerical simulations show the feasibility of the theoretical results.
出处
《应用数学和力学》
CSCD
北大核心
2018年第2期239-248,共10页
Applied Mathematics and Mechanics
基金
国家自然科学基金(11571016)
安徽省自然科学基金(11040606M12
1608085MA14)
安徽省高等学校自然科学研究重点项目(KJ2015A152)
安徽省高校自然科学研究一般项目(AQKJ2014B012)
关键词
分数阶
基于忆阻器神经网络
时滞
修正投影同步
fractional order
memristor-based neural network
time delay
modified projective synchronization
