| 引用本文: | 盛立,杨慧中,楼旭阳.具有漏泄时滞的高阶细胞神经网络的多周期性分析[J].控制理论与应用,2010,27(1):103~106.[点击复制] |
| SHENG Li,YANG Hui-zhong,LOU Xu-yang.Multiperiodicity analysis of higher-order cellular neural networks with leakage time-lags[J].Control Theory and Technology,2010,27(1):103~106.[点击复制] |
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| 具有漏泄时滞的高阶细胞神经网络的多周期性分析 |
| Multiperiodicity analysis of higher-order cellular neural networks with leakage time-lags |
| 摘要点击 2215 全文点击 1327 投稿时间：2008-06-04 修订日期：2009-04-28 |
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| DOI编号 10.7641/j.issn.1000-8152.2010.1.CCTA080571 |
| 2010,27(1):103-106 |
| 中文关键词 高阶细胞神经网络 局部指数收敛 多周期性 漏泄时滞 |
| 英文关键词 higher-order cellular neural networks local exponential convergent multiperiodicity leakage time-lags |
| 基金项目 国家自然科学基金资助项目(60674092); 江苏省高技术研究项目(BG2006010); 江南大学创新团队发展计划资助项目. |
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| 中文摘要 |
| 分析了一类具有漏泄时滞的高阶细胞神经网络的多周期性和指数收敛性. 给出了保证此类网络的周期环在饱和区内局部指数收敛的充分条件. 所得结果表明, 一个n维网络可以有2^n个周期环存在于饱和区, 而且这些周期环是局部指数收敛的. 仿真实例进一步证明了结论的有效性. |
| 英文摘要 |
| The multiperiodicity and the exponential convergence of a class of higher-order cellular neural networks with leakage time-lags are analyzed. A sufficient condition for guaranteeing periodic orbits of this kind of networks to be locally exponentially convergent in saturation regions is obtained. The results show that an n-dimensional neural network can have 2^n periodic orbits located in saturation regions, and these periodic orbits are locally exponentially convergent. The simulation example shows the effectiveness of the results. |