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带有时滞和脉冲的模糊细胞神经网络的全局指数稳定性

Global Exponential Stability of Fuzzy Cellular Neural Networks with Delays and Impulses
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摘要 主要讨论了带有时滞和脉冲的模糊细胞神经网络的全局指数稳定性.在合适的条件下,利用不动点定理、M-矩阵原理和Lyapunov函数技巧,获得了该系统平衡点的全局指数稳定性. This paper is concerned with a model of fuzzy neural networks with delays and impulses.Under the suitable conditions,global exponential stability is obtained based on the fixed point theorem,M-matrix theory and Lyapunov function.
作者 钱莉娜 莫道宏 徐晓琳 王良龙
机构地区 安徽大学数学科学学院
出处 《合肥学院学报（自然科学版）》 2010年第4期18-20,40,共4页 Journal of Hefei University :Natural Sciences
基金 安徽省高校自然科学基金重点项目(KJ2009A49)资助
关键词 模糊神经网络 全局指数稳定性 不动点定理 M-矩阵 LYAPUNOV函数 fuzzy neural networks global exponential stability fixed point theorem M-matrix Lyapunov function
分类号 O175.21 [理学—基础数学]
  • 相关文献

参考文献7

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二级参考文献11

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合肥学院学报（自然科学版）
2010年 第4期

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