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| 具有混合时滞的区间神经网络的全局指数稳定性 | |
| 引用本文： | 尹水仿,王芬. 具有混合时滞的区间神经网络的全局指数稳定性[J]. 应用数学, 2009, 22(4) |
| 作者姓名： | 尹水仿 王芬 |
| 作者单位： | 武汉科技大学理学院,湖北,武汉,430081 |
| 摘 要： | 本文研究了一类具有混合时滞的区间神经网络系统的全局指数稳定性.通过选择适当的Lyapunov泛函,运用不等式技巧,得到了用线性矩阵不等式表示的有关的区间神经网络全局指数稳定的充分判据.通过一个数值实例验证了判据的有效性. |
| 关 键 词： | 神经网络 Lyapunov泛函 全局指数稳定 线性矩阵不等式 |
Global Exponential Stability of Interval Neural Networks with Mixed Time Delays |
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| YIN Shui-fang,WANG Fen. Global Exponential Stability of Interval Neural Networks with Mixed Time Delays[J]. Mathematica Applicata, 2009, 22(4) | |
| Authors: | YIN Shui-fang WANG Fen |
| Abstract: | This paper concerns with the global exponential stability of interval neural networks with mixed time delays. The mixed delays comprise discrete and distributed time delays. By applying Lyapunov functional,inequality technique,the criteria are derived in terms of linear matrix inequalities. A numerical example is provided to illustrate the effectiveness of our results. |
| Keywords: | Neural networks Lyapunov functional Global exponential stability Linear matrix inequality(LMI) |
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