| 可变时延神经网络的全局指数稳定性 |
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| 引用本文： | 吴燕仙,邹晓光. 可变时延神经网络的全局指数稳定性[J]. 江汉大学学报(自然科学版), 2007, 35(4): 51-55 |
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| 作者姓名： | 吴燕仙 邹晓光 |
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| 作者单位： | 1. 金华教育学院,现代教育技术中心,浙江,金华,321000
2. 金华教育学院,数理系,浙江,金华,321000 |
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| 摘 要： | 利用Lyapunov泛函方法和线性矩阵不等式(LMI)技术,讨论了带有可变时延的神经网络的全局指数稳定性.通过引入一系列参数,给出全局指数稳定的平衡点的充分条件.实例表明给出的充分条件是有效、可行的.
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| 关 键 词： | 指数稳定 神经网络 可变时延 Lyapunov函数 线性矩阵不等式 |
| 文章编号： | 1673-0143(2007)04-0051-05 |
| 修稿时间： | 2007-05-29 |
On Global Exponential Stability of Neural Networks with Time-varying Delays |
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| WU Yan-xian,ZOU Xiao-guang. On Global Exponential Stability of Neural Networks with Time-varying Delays[J]. Journal of Jianghan University(Natural Sciences), 2007, 35(4): 51-55 |
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| Authors: | WU Yan-xian ZOU Xiao-guang |
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| Abstract: | Using the Lyapunov functional method and the linear matrix inequality(LMI) tech-nique,the global exponential stability of neural networks with time-varying delays is studied.Through introducing a series of parameters,giving out the sufficient conditions for equilibrium point of global exponential stability.The example shows the sufficient are conditions feasible and valid. |
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| Keywords: | exponential stability neural networks time-varying delays Lyapunov function linear matrix inequality(LMI) |
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