摘要
研究了一类时滞混沌忆阻器神经网络的延迟反同步控制问题.通过构造李亚普诺夫函数及采用微分包含理论和Halanay不等式的研究方法,设计了一个线性反馈控制器,并恰当选择控制器增益实现了一类混沌忆阻器神经网络驱动系统与响应系统之间的延迟反同步,所设计的控制器简单并易于实现.最后,仿真例子验证了所设计的控制器的有效性.
In this paper, we study the anti-lag synchronization control problem of a class of chaotic memristive neural networks with time-varying delays, and propose a linear feedback controller that employs differential inclusions theory, the Lyapunov function, and the Halanay inequality technique. By choosing proper controller gain, we can achieve anti-lag synchronization of the drive and response systems in this class of chaotic memristive neural networks. In addition, the controller is easily implemented in practice. The results of a numerical simulation example demonstrate the effectiveness of the proposed controller.
出处
《信息与控制》
CSCD
北大核心
2016年第4期437-443,共7页
Information and Control
基金
国家自然科学基金资助项目(61473136)
关键词
延迟反同步
忆阻器神经网络
非光滑分析
变时滞
anti-lag synchronization
memristive neural networks non-smooth analysis
time-varying delays
