%0 Journal Article
%T Adaptive repetitive learning control for a class of nonlinearly parameterized uncertain systems<br>一类非线性参数化系统自适应重复学习控制
%A SUN Yun-ping
%A <br>孙云平
%J 控制理论与应用
%D 2009
%I 
%X Combining the pointwise integral mechanism with the feedback linearization approach, we propose a novel adaptive repetitive learning control for higher-order nonlinearly parameterized uncertain systems with time-varying and time-invariant parameters. This control can be applied to an uncertain system with time-varying parameters which are varying rapidly and periodically in an unknown compact set. A differential-difference mixed-type adaptive law and an adaptive repetitive learning control law are configured to ensure the asymptotic convergence of the extended tracking error in the sense of square error-norm. Also, a sufficient condition of the convergence of the method is given by constructing a Lyapunov functional. A simulation example illustrates the feasibility of the proposed method.
%K nonlinearly parameterized uncertain systems
%K mixed parametric
%K adaptive control
%K repetitive learning control
%K Lyapunov functional<br>非线性参数化系统
%K 混合型参数
%K 自适应控制
%K 重复学习控制
%K Lyapunov泛函
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=6F6B70A272AE6B5427AD5207FA6EE0FF&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=CA5852BD1A173B3A&eid=E1D946F217E3B046&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=11