%0 Journal Article
%T Dual-stage Optimal Iterative Learning Control for Nonlinear Non-affine Discrete-time Systems<br>非线性非仿射离散时间系统的两阶段最优迭代学习控制
%A CHI Rong-Hu
%A HOU Zhong-Sheng
%A <br>池荣虎
%A 侯忠生
%J 自动化学报
%D 2007
%I 
%X On the basis of a new dynamic linearization technology along the iteration axis, a dual-stage optimal iterative learning control is presented for nonlinear and non-affine discrete-time systems. Dual-stage indicates that two optimal learning stages are designed respectively to improve control input sequence and the learning gain iteratively. The main feature is that the controller design and convergence analysis only depend on the I/O data of the dynamical system. In other words, we can easily select the control parameters without knowing any other knowledge of the system. Simulation study illustrates the geometrical convergence of the presented method along the iteration axis, in which an example of freeway traffic iterative learning control is noteworthy for its intrinsic engineering importance.
%K Dual-stage
%K model free adaptive control
%K iterative learning control
%K nonlinear and non-affine systems
%K ramp metering<br>非线性系统
%K 离散时间系统
%K 自适应控制
%K 迭代学习控制
%K 匝道交通调节
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=CFF92DD2196756AF&yid=A732AF04DDA03BB3&vid=27746BCEEE58E9DC&iid=F3090AE9B60B7ED1&sid=29036368246435B2&eid=4CB3DBBCE4B39661&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=13