%0 Journal Article
%T Iterative learning control for a class of nonlinear systems with measurement dropouts<br>测量数据丢失的一类非线性系统迭代学习控制
%A BU Xu-hui
%A YU Fa-shan
%A HOU Zhong-sheng
%A WANG Fu-zhong
%A <br>卜旭辉
%A 余发山
%A 侯忠生
%A 王福忠
%J 控制理论与应用
%D 2012
%I 
%X This paper analyzes the stability of the iterative learning control (ILC) applied to a class of nonlinear discretetime systems with output measurement data dropouts. It is assumed that an ILC scheme is implemented via a networked control loop for the nonlinear system and that the packet dropout occurs due to limitations in network communication. The data dropout is described as a stochastic Bernoulli process with a given probability; on this basis we derive the convergence condition for the P-type ILC algorithm. The theoretical analysis is supported by the simulation of a numerical example; the convergence of ILC can be guaranteed when some output measurements are missing.
%K iterative learning control
%K nonlinear system
%K networked control systems
%K data dropouts<br>迭代学习控制
%K 非线性系统
%K 网络控制系统
%K 数据丢失
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=37B668E9A43A246EF24470021B8E1DD4&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=708DD6B15D2464E8&sid=E34F1AE8B0BD0598&eid=AA2E209AD442C5CC&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=0