%0 Journal Article
%T Multiperiodicity analysis of higher-order cellular neural networks with leakage time-lags<br>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 <br>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<br>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