%0 Journal Article
%T Iterative Learning Control for a Class of Nonlinear Systems<br>一类非线性系统的迭代学习控制
%A SHEN Dong
%A CHEN Hanfu
%A <br>沈栋
%A 陈翰馥
%J 系统科学与数学
%D 2008
%I 
%X The iterative learning control (ILC) is considered for a class of nonlinear systems, for which the dynamic nonlinearity grows up not faster than a polynomial as the state diverges and the observation equation is corrupted by noise. The control sequence cannot directly feed to the system but first has to pass through a nonlinear function such as the dead-zone, pre-load, and saturation etc. The iterative learning control sequence is recursively defined, and its boundedness and optimal tracking property are proved in the paper.
%K Nonlinear system
%K iterative learning control
%K measurement noise
%K dead-zone
%K pre-load
%K saturation
%K stochastic approximation<br>非线性系统
%K 迭代学习控制
%K 量测噪声
%K 死区
%K 预载
%K 饱和
%K 随机逼近
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=A92185176C5F30D5D458D996DDF1BB88&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=8CE636FB0B122692&eid=941A3E905B9F2AD9&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=0&reference_num=19