| 具有马尔可夫跳跃参数的变时滞静态神经网络的全局指数稳定性 |
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| 引用本文： | 王顺康,王林山.具有马尔可夫跳跃参数的变时滞静态神经网络的全局指数稳定性[J].山东大学学报(理学版),2008,43(4):81-84. |
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| 作者姓名： | 王顺康 王林山 |
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| 作者单位： | 中国海洋大学数学系,山东,青岛,266071 |
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| 摘 要： | 利用李雅普诺夫泛函方法和线性矩阵不等式技巧研究了具有变时滞和马尔可夫跳跃参数的静态神经网络的全局指数稳定性,给出了一个判断全局指数稳定性的简洁易行的代数判据。
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| 关 键 词： | 全局指数稳定性 线性矩阵不等式 马尔可夫跳跃参数 李亚普诺夫泛函 |
| 文章编号： | 1671-9352(2008)04-0081-04 |
| 修稿时间： | 2007年10月10 |
Global exponential stability for static neural network models with time-varying delays and Markovian jumping parameters |
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| WANG Shun-kang,WANG Lin-shan.Global exponential stability for static neural network models with time-varying delays and Markovian jumping parameters[J].Journal of Shandong University,2008,43(4):81-84. |
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| Authors: | WANG Shun-kang WANG Lin-shan |
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| Institution: | Department of Mathematics, Ocean University of China, Qingdao 266071, Shandong, China |
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| Abstract: | By using the Lyapunov-Krasovskii functional theory and the linear matrix inequality (LMI) approach, the global exponential stability of static neural network models with time-varying delays and Markovian jumping parameters was studied. A criterion of the global exponential stability was derived. |
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| Keywords: | global exponential stability linear matrix inequality Markovian jumping parameters Lyapunov functional |
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