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具有离散和分布时滞的脉冲神经网络的全局指数稳定性
引用本文:向泽英.具有离散和分布时滞的脉冲神经网络的全局指数稳定性[J].西南科技大学学报,2014(1):87-90.
作者姓名:向泽英
作者单位:西南科技大学理学院,四川绵阳621010
摘    要:研究了一类具有离散和分布时滞的脉冲神经网络的全局稳定性。基于微分方程的Lyapunov稳定性理论和线性矩阵不等式(LMI)处理方法,得到了系统全局指数稳定的充分条件。

关 键 词:全局指数稳定  脉冲神经网络  时滞  线性矩阵不等式

Global Exponential Stability of Impulsive Cellular Neural Networks with Discrete and Distributed Time -Varying Delays
Institution:XIANG Ze - ying (School of Sciences, Southwest University of Science and Technology, Mianyang 621010, Sichuan, China)
Abstract:We studied the global exponential stability of impulsive cellular neural networks with discrete and distributed time - varying delays. Our results were based on the Lyapunov - Krasovskii functional sta bility analysis of differential equations and the linear matrix inequality (LMI) optimization approach. Some numerical examples were given to show the effectiveness of the results.
Keywords:Global exponential stability  Impulsive cellular neural networks  Delays  Linear matrix ine-quality
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