| 混合时滞区间神经网络鲁棒指数稳定性 |
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| 引用本文： | 易春.混合时滞区间神经网络鲁棒指数稳定性[J].内江师范学院学报,2009,24(2):23-26. |
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| 作者姓名： | 易春 |
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| 作者单位： | 四川大学,数学学院,四川,成都,610064;四川理工学院,数学系,四川,自贡,643000 |
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| 摘 要： | 讨论了混合时滞区间神经网络的全局鲁棒指数稳定性．利用拓扑度理论和不等式技巧给出了一个混合时滞区间神经网络平衡点的存在唯一性以及全局鲁棒指数稳定性的条件。
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| 关 键 词： | 混合时滞 区间神经网络 鲁棒指数稳定性 拓扑度理论 |
Global Robust Exponential Stability of Interval Neural Networks with Mixed Delays |
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| YI Chun.Global Robust Exponential Stability of Interval Neural Networks with Mixed Delays[J].Journal of Neijiang Teachers College,2009,24(2):23-26. |
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| Authors: | YI Chun |
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| Institution: | 1.College of Mathematics;Sichuan University;Chengdu;Sichuan 610064;China;2.Department of Mathematics;Sichuan University of Sicence & Engineering;Zigong;Sichuan 643000;China |
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| Abstract: | The global robust exponential stability is investigated for interval neural networks with mixed delay.By applying the topological degree theory and some techniques of inequality,the uniqueness of the existence for the equilibrium point of the interval neural networks with mixed delays is worked out and the condition for global robust exponential stability is presented.Several previous results are improved and popularized. |
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| Keywords: | mixed delays interval neural networks robust exponential stability topological degree theory |
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