| 时滞离散细胞神经网络的指数稳定性 |
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| 引用本文： | 朱伟 刘勇. 时滞离散细胞神经网络的指数稳定性[J]. 重庆邮电学院学报(自然科学版), 2005, 17(6): 793-796 |
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| 作者姓名： | 朱伟 刘勇 |
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| 作者单位： | 重庆邮电学院,重庆400065 |
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| 基金项目： | The work is supported by National Natural Science Foundation of China （10371083） and the young teachers＇ foundation of Chongqing University of Posts and Telecommunication （A2004-12）. |
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| 摘 要： | 利用不等式和矩阵范数技巧分别得到了时滞离散细胞神经网络局部指数和全局指数稳定的充分条件，并对指数收敛率和吸引区域进行了估计。
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| 关 键 词： | 充分条件 指数稳定 离散细胞神经网络 吸引区域 |
| 文章编号： | 1004-5694（2005）06-0793-04 |
| 收稿时间： | 2005-03-18 |
| 修稿时间： | 2005-09-11 |
Exponential stability of discrete-time cellular neural networks with delays. |
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| ZHU Wei ,LIU Yong. Exponential stability of discrete-time cellular neural networks with delays.[J]. Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition), 2005, 17(6): 793-796 |
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| Authors: | ZHU Wei LIU Yong |
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| Affiliation: | Department of Computer Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China |
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| Abstract: | In this paper,the authors establish some sufficient conditions for the discrete-ti me cellular neural networks(CNNs) to be local exponentially stable and global exponentially stable in termof inequality analysis techniques andmatrix norm.The exponential convergence rate and the basin of attraction of the stable equilibriumof the discrete-ti me CNNs are esti mated. |
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| Keywords: | sufficient conditions exponential stability discrete-time cellular neural network basin of attraction |
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