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时延细胞神经网络的渐近稳定性条件 被引量：4

NOVEL CONDITIONS OF ASYMPTOTIC STABILITY FOR CELLULAR NEURAL NETWORKS WITH TIME DELAY
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摘要 该文利用一个新的Liapunov函数,讨论了带时延细胞神经网络的全局渐近稳定性,得到了一些判定网络的全局渐近稳定新的充分条件,所得到的结果较之P.P.Civalleri等人的结果简单和实用且对于具体设计带时延细胞神经网络有重要的指导意义。 In this paper, global asymptotic stability for cellular neural networks with time delay is discussed using a novel Liapunov function. Some novel sufficient conditions for global asymptotic stability are obtained. Those results are simple and practical than given by P. P. Civalleri et al, and have a leading importance to design cellular neural networks with time delay.
作者 廖晓峰 吴中福 虞厥邦
机构地区 重庆大学计算机学院 电子科技大学光电子技术系
出处 《电子与信息学报》 EI CSCD 北大核心 2001年第1期45-52,共8页 Journal of Electronics & Information Technology
关键词 时延 细胞神经网络 LIAPUNOV函数 渐近稳定性 充分条件 Time delay, Cellular neural networks, Liapunov function, Global asymptotic stability, Sufficicent condition
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献11

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同被引文献35

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引证文献4

二级引证文献13

电子与信息学报
2001年 第1期

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