| 脉冲时滞细胞神经网络系统的指数稳定性 |
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| 引用本文： | 罗文品,;钟守铭.脉冲时滞细胞神经网络系统的指数稳定性[J].四川轻化工学院学报,2008(4):21-23. |
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| 作者姓名： | 罗文品 ;钟守铭 |
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| 作者单位： | [1]四川理工学院数学系,四川自贡643000; [2]电子科技大学应用数学学院,成都610054 |
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| 基金项目： | 基金项目：四川理工学院人才引进科研启动项目（07ZR39） |
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| 摘 要： | 讨论了一类具有时滞的脉冲细胞神经网络的全局指数稳定性。利用Lyapunov函数和不等式技巧得到了该系统全局指数稳定的一个充分条件，同时给出示例说明结果的有效性。
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| 关 键 词： | 细胞神经网络 脉冲 全局指数稳定性 时滞 |
Exponential Stability of Impulsive Cellular Neural Networks with Time-varying Delays |
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| Affiliation: | LUO Wen-pin, ZHONG Shou-ming (1,Dept. of Mathematics, Sichuan University of Science ＆ Engineering, Zigong 643000, China; 2. School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, China) |
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| Abstract: | This paper considers the global exponential stability of impulsive cellular neural networks with timevarying delays. By using the method of Lyapunov function and inequality technique, a sufficient condition for ensuring global exponential stability of these networks is derived, and the estimated exponential convergence rate is also obtained. An example is also given to verify the effectiveness of the obtained result. |
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| Keywords: | cellular neural networks impulsive global exponential stability delay |
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