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高阶S-分布时滞细胞神经网络的全局鲁棒指数稳定性

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Keywords: 细胞神经网络&searchField=keyword">细胞神经网络')"href="#">细胞神经网络,高阶S-分布时滞,平衡点,全局鲁棒指数稳定

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Abstract:

利用分析技巧,通过构造恰当的Lebesgue-Stieltjes积分型Lyapunov泛函,得到系统全局鲁棒指数稳定的充分条件,判断方法简单.最后给出一个实例,以说明本文主要结论的有效性.

References

[1]  CHUA L O, YANG L. Cellular neural networks : theory[J] . IEEE Trans Circuits Systems, 1988, 35(10): 1257-1272.
[2]  CHUA L O, YANG L. Cellular neural networks: applications[J] . IEEE Trans Circuits Systems, 1988, 35(10): 1273-1290.
[3]  谌新年, 刘国荣. 高阶时滞神经网络模型的全局指数稳定性[J]. 湖南大学学报, 2007, 34(6): 1000-1003.\\
[4]  CHEN Xin-nian, LIU Guo-rong. Global exponential stability of higher-order hopfield type neural networks with delays[J]. Journal of Hunan University, 2007, 34(6): 1000-1003.
[5]  张安彩, 张微微, 潘瑞芬, 等. 变时滞高阶\,Hopfield\,神经网络的全局指数稳定性\,[J]. 南通大学学报, 2007, 6(3): 28--31\\
[6]  ZHANG An-cai, ZHANG Wei-wei, PAN Rui-fen, et al. Global exponential stability of high-order cellular neural networks with time-varying delays[J]. Journal of Nantong University, 2007, 6(3): 28-31.
[7]  CAO Jin-de, LIANG Jin-ling, LAM J. Exponential stability of high-order bidirectional associative memory neural networks with time delays[J]. Physica D: Nonlinear Phenomena, 2004, 199(3-4): 425-436.
[8]  QIU Fang, CUI Bao-tong, WU Wei. Global exponential stability of high order recurrent neural network with time-varying delays[J]. Applied Mathematical Modelling, 2009, 33(1): 198-210.
[9]  HUO H F, LI W T, TANG S. Dynamics of high-order BAM neural networks with and without impulses[J]. Applied Mathematics and Computation, 2009, 215(6): 2120-2133.
[10]  梁霄, 王林山.一类S-分布时滞递归神经网络的全局吸引子[J]. 山东大学学报, 2009, 44(4): 1671-1680\\
[11]  LIANG Xiao, WANG Linshan.Global attractor of a class of recurrent neural network with S-type distributed delays[J]. Journal of Shandong University, 2009, 44(4): 1671-1680.
[12]  DENG Jin,WANG Lin-shan, XU Dao-yi.Asymptotic Behaviour of Hopfield Neural Networks with S-type Distributed Delays[J].Journal of Sichuan University(Natural Sciences Edition), 2004, 41(1): 490-499.
[13]  WANG Lin-shan, ZHANG Ruo-jun, WANG Yang-fan. Global exponential stability of reaction-diffusion cellular neural networks with S-type distributed timedelays[J]. Nonlinear Analysis: Real World Applications, 2009, 10(2): 1101-1113.
[14]  ZHANG Ruo-jun, WANG Lin-shan. Global exponential robust stability of interval cellular neural networks with S-type distributed delays[J]. Mathematical and Computer Modelling, 2009, 50(3--4): 380-385.
[15]  FORTI M, TESI A. New conditions for global stability of neural networks with application to linear and quadratic orogramming problems[J]. IEEE Trans Circuits Syst-I, 1995, 42(7): 354-366.
[16]  马成荣.高阶S-分布时滞广义细胞神经网络的全局指数稳定性[J].生物数学学报, 2011, 26(3).\\
[17]  MA Cheng-rong. Global exponential stability of high generalized cellular neural networks with S-type distributed delays[J].Journal of Biomathematics, 2011, 26(3).

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