%0 Journal Article
%T A New Discrete-time Adaptive ILC for Nonlinear Systems with Time-varying Parametric Uncertainties<br>非线性时变参数不确定系统的自适应迭代学习控制
%A CHI Rong-Hu
%A SUI Shu-Lin
%A HOU Zhong-Sheng
%A <br>池荣虎
%A 隋树林
%A 侯忠生
%J 自动化学报
%D 2008
%I 
%X Using the analogy between the discrete time axis and the iterative learning axis,a new discrete-time adaptive iter- ative learning control (AILC) approach is developed to address a class of nonlinear systems with time-varying parametric un- certainties.Analogous to adaptive control,the new AILC can incorporate a projection algorithm,thus the learning gain can be tuned iteratively along the learning axis.When the initial states are random and the reference trajectory is iteration-varying,the new AILC can achieve the pointwise convergence over a finite time interval asymptotically along the iterative learning axis.
%K Iterative learning control (ILC)
%K adaptive control
%K time-varying parameters
%K non-identical initial condition
%K nonidentical trajectory<br>Iterative
%K learning
%K control
%K (ILC)
%K adaptive
%K control
%K time-varying
%K parameters
%K non-identical
%K initial
%K condition
%K non-identical
%K trajectory
%K 线性时变参数
%K 不确定系统
%K 自适应
%K 迭代
%K 学习控制
%K Parametric
%K Uncertainties
%K Nonlinear
%K Systems
%K convergence
%K finite
%K time
%K interval
%K initial
%K states
%K random
%K reference
%K trajectory
%K gain
%K tuned
%K incorporate
%K projection
%K algorithm
%K adaptive
%K control
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=A0C4253EF8A0ECBDD1E6493E6AD5CB6D&yid=67289AFF6305E306&vid=339D79302DF62549&iid=DF92D298D3FF1E6E&sid=8C8D39B86A1EED4F&eid=15890B67B1F0B7E7&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=13