时滞神经网络双周期间歇控制滞后同步  

Lag synchronization of delayed neural networks via intermittent control with two periods

作　　者：赵贺[1] 梁义[1] ZHAO He;LIANG Yi(School of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang 835000, China)

机构地区：[1]伊犁师范学院电子与信息工程学院,新疆伊宁835000

出　　处：《计算机工程与应用》2016年第15期55-59,共5页Computer Engineering and Applications

基　　金：新疆维吾尔自治区自然科学基金(No.201442137-26)

摘　　要：提出了一个时滞神经网络周期间歇控制滞后同步策略,其间歇控制周期为两个不同的周期。利用Lyapunov稳定性理论,证明了时滞神经网络在此控制策略下能够实现同步,并获得了同步解全局指数稳定的充分条件。给出了一个仿真实例验证了控制方案的有效性。In this paper, a lag synchronization scheme for neural networks is proposed, which uses two periods to do intermittentcontrol. It is proven that a neural network can achieve synchronization under the control strategy and a sufficientcondition of ensuring the global synchronization under delay feedback is presented by using Lyapunov stability theory. Anumerical simulation is offered to show the effectiveness of the new result.

关 键 词：神经网络 滞后同步 间歇控制 

分 类 号：TP273.3[自动化与计算机技术—检测技术与自动化装置]