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含扩散项时滞模糊Cohen-Grossberg神经网络的指数稳定性 被引量：1

Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-diffusion
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摘要 文章讨论了一类含扩散项的混合时滞模糊Cohen-Grossberg神经网络,通过一些基本分析手段和不等式技巧,得到了平衡点的唯一性和全局指数稳定性的充分条件,通过实例模型验证了指数稳定性。 A fuzzy Cohen-Grossberg neural networks with mixed delays and reaction-diffusion are discussed.By some inequality techniques,the uniqueness of equilibrium point of fuzzy Cohen-Grossberg neural networks with mixed delays and reaction-diffusion is proved.Then,a sufficient condition is given to ensure the global exponential stability of the equilibrium point for this model.An example was also worked out to demonstrate the application of our result.
作者 周杰
机构地区 四川理工学院理学院
出处 《四川理工学院学报（自然科学版）》 CAS 2010年第3期270-274,共5页 Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金 四川理工学院2008年人才引进项目(2008RCYJ10)
关键词 时滞 扩散 COHEN-GROSSBERG 指数稳定性 time delays reaction-diffusion Cohen-Grossberg exponential stability
分类号 O175.26 [理学—基础数学]
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参考文献12

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二级参考文献20

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四川理工学院学报（自然科学版）
2010年 第3期

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