计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (15): 55-59.
• 理论与研发 • 上一篇 下一篇
赵 贺，梁 义
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ZHAO He, LIANG Yi
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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。
关键词: 神经网络, 滞后同步, 间歇控制
Abstract: In this paper, a lag synchronization scheme for neural networks is proposed, which uses two periods to do intermittent control. It is proven that a neural network can achieve synchronization under the control strategy and a sufficient condition of ensuring the global synchronization under delay feedback is presented by using Lyapunov stability theory. A numerical simulation is offered to show the effectiveness of the new result.
Key words: neural network, lag synchronization, intermittent control
赵 贺，梁 义. 时滞神经网络双周期间歇控制滞后同步[J]. 计算机工程与应用, 2016, 52(15): 55-59.
ZHAO He, LIANG Yi. Lag synchronization of delayed neural networks via intermittent control with two periods[J]. Computer Engineering and Applications, 2016, 52(15): 55-59.
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