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.
作者
赵贺
梁义
ZHAO He;LIANG Yi(School of Electronics and Information Engineering, Yili Normal University, Yining, Xinjiang 835000, China)
出处
《计算机工程与应用》
CSCD
北大核心
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)
关键词
神经网络
滞后同步
间歇控制
neural network
lag synchronization
intermittent control
