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具有混合时滞的脉冲模糊Cohen-Grossberg神经网络p-指数稳定性
引用本文:秦发金.具有混合时滞的脉冲模糊Cohen-Grossberg神经网络p-指数稳定性[J].柳州师专学报,2011,26(1):121-127,137,141.
作者姓名:秦发金
作者单位:柳州师范高等专科学校,数学与计算机科学系,广西,柳州,545004
摘    要:研究了一类具有混合时滞和脉冲的模糊Cohen-G rossberg神经网络p-指数稳定性.利用M-锥理论和不等式分析技巧,获得了保证此神经网络零解p-指数稳定的一些新的充分条件,推广和改进了已有文献的相关结果.

关 键 词:混合时滞  脉冲模糊Cohen-Grossberg神经网络  p-指数稳定

Exponential p-stability of Impulsive Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays
QIN Fajin.Exponential p-stability of Impulsive Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays[J].Journal of Liuzhou Teachers College,2011,26(1):121-127,137,141.
Authors:QIN Fajin
Institution:QIN Fajin(Department of Mathematics and computer science,Liuzhou Teachers College,Liuzhou,Guangxi,545004 China
Abstract:This paper,investigated the exponential p-stability of impulsive fuzzy Cohen-Grossberg neural networks with mixed delays by using the properties of M-cone and inequality analysis technique,concludes the obtaining of some new sufficient conditions that ensure the exponential p-stability of the zero solution of impulsive fuzzy Cohen-Grossberg neural networks with mixed delays,so as to modify and generalize some corresponding publishing results.
Keywords:mixed delays  impulsive fuzzy Cohen-Grossberg neural networks  exponential p-stability  
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