具中立变时滞的模糊细胞神经网络概周期解的存在性和全局指数稳定性(英文)

Existence and Global Exponential Stability of almost Periodic Solutions of Fuzzy Cellular Neural Networks with Neutral Time-varying Delays

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摘要通过使用不动点定理和微分不等式技巧,研究了具有中立时变时滞的模糊细胞神经网路,得到了几个关于概周期解的存在性、唯一性和全局指数稳定性的新的充分性条件. By using the fixed point theorem and differential inequality techniques, we study the existence, uniqueness and global exponential stability of almost periodic solutions for fuzzy cellular neural networks （FCNNs） with neutral time- varying delays. Several new sufficient conditions are derived for checking existence, uniqueness and global exponential stability of almost periodic solutions of the delayed FCNNs.

作者刘静蒋海军

机构地区新疆大学数学与系统科学学院

出处《新疆大学学报（自然科学版）》 CAS 2011年第2期184-193,共10页 Journal of Xinjiang University(Natural Science Edition)

基金 Supported by The National Natural Science Foundation of P.R.China(60764003) The Major Project of The Ministry of Education of P.R.China(207130) The Scientific Research Programmes of Colleges in Xinjiang(XJEDU2007G01,XJEDU2006I05)

关键词模糊细胞神经网络中立时变时滞概周期解全局指数稳定性不动点定理 Fuzzy cellular neural networks Neutral time-varying delays Almost periodic solution Global exponential stability Fixed point theorem

分类号 O175.13 [理学—基础数学]

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新疆大学学报（自然科学版）

2011年第2期

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具中立变时滞的模糊细胞神经网络概周期解的存在性和全局指数稳定性(英文)

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