%0 Journal Article %T Multiperiodicity analysis of higher-order cellular neural networks with leakage time-lags
具有漏泄时滞的高阶细胞神经网络的多周期性分析 %A SHENG Li %A YANG Hui-zhong %A LOU Xu-yang %A
盛立 %A 杨慧中 %A 楼旭阳 %J 控制理论与应用 %D 2010 %I %X 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. %K higher-order cellular neural networks %K local exponential convergent %K multiperiodicity %K leakage time-lags
高阶细胞神经网络 %K 局部指数收敛 %K 多周期性 %K 漏泄时滞 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=8BD772945A1BFF9A87A1448E15C568C7&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=89F76E117E9BDB76&eid=F24949CFDB502409&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=11