| 引用本文: | 蒲浩1, 刘衍民1, 黄建文1, 罗国旺1, 赵爱亮1, 王来全2.具有非线性脉冲效应的Cohen Grossberg型神经网络的指数同步(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2016，33（3）：1-5 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 研究了一类具有非线性脉冲效应的Cohen Grossberg型神经网络的指数同步，通过李亚普诺夫稳定性理论和一些不等式方法，利用r 范数得到了新的指数同步的充分条件；相对于线性脉冲效应文章中的结论，消除了对脉冲获得系数γik∈［-2,0］的限制，适用范围更加广泛一些。 |
| 关键词: Cohen Grossberg型神经网络 非线性脉冲效应 变时滞 r 范数 指数同步 |
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| Exponential Synchronization for Cohen Grossberg Neural Networks with Nonlinear Impulsive Effects |
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PU Hao1, LIU Yan min1, HUANG Jian wen1, LUO Guo wang1,
ZHAO Ai liang1, WANG Lai quan2
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| Abstract: |
| In this paper, exponential synchronization for Cohen Grossberg neural networks with nonlinear impulsive effects is discussed. By Lyapunov functinoal method and by utilizing inequality techniques, some new and useful sufficient conditions on the exponential synchronization are obtained based on r norm. Compared with recent years of linear impulsive effects results about neural networks synchronization, our results remove the restrictions of the impulsive gain γik∈ ［-2,0］, so our results are more general. |
| Key words: Cohen Grossberg neural networks nonlinear impulsive effects time varying delays r norm exponential synchronization. |
