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具有时滞和脉冲的中立型Cohen-Grossberg神经网络的正p-不变集与全局p-吸引集

Positive p- invariant and Global p- attracting Set for Neutral Cohen-Grossberg Neural Networks with Time-varying Delays and Impulses
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摘要 研究了一类具有时滞和脉冲的中立型Cohen-Grossberg神经网络的全局吸引集.通过利用一个奇异时滞微分不等式和M-锥理论,获得了其正p-不变集与全局p-吸引集的充分条件. This paper studies the positive p- invariant and global p- attracting set for neutral Cohen-Grossberg neural networks with time-varying delays and impulses. By using a singular impulsive delay differential inequality and M-cone theory,it derives a set of sufficient conditions.
作者 秦发金
机构地区 广西科技师范学院数学与计算机科学系
出处 《柳州师专学报》 2015年第4期127-135,共9页 Journal of Liuzhou Teachers College
基金 广西高校科学技术研究项目(2013YB282 YB2014468)
关键词 脉冲中立型 COHEN-GROSSBERG神经网络 正p-不变集 全局p-吸引集 M-锥理论 impulsive neutral Cohen-Grossberg neural networks positive p-invariant set global p-attracting set M-cone theory
分类号 O175.13 [理学—基础数学]
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参考文献8

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柳州师专学报
2015年 第4期

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