%0 Journal Article
%T Adaptive Learning Control for Nonlinearly Parameterized Systems with Periodically Time-varying Delays<br>周期时变时滞非线性参数化系统的自适应学习控制
%A CHEN Wei-Sheng
%A WANG Yuan-Liang
%A LI Jun-Min
%A <br>陈为胜
%A 王元亮
%A 李俊民
%J 自动化学报
%D 2008
%I 
%X An adaptive learning control scheme is designed for first-order nonlinearly parameterized systems with unknown pe- riodically time-varying delays.It is assumed that the common periodicity of unknown time-varying parameter,time-varying delay,and reference signal are known. By reconstructing the system equation,all unknown time-varying terms including the time-varying delay are combined into a periodically time-varying vector which is estimated by a periodic adaptation mechanism. By constructing a Lyapunov-Krasovskii-like composite energy function,we prove the boundedness of all signals and the con- vergence of tracking error.The results are extended to a class of high-order nonlinear systems with mixed parameters.Two simulation examples are provided to illustrate the effectiveness of the control algorithms proposed in this paper.
%K Learning control
%K nonlinearly parameterized systems
%K time-varying delays
%K composite energy function<br>学习控制
%K 非线性参数化系统
%K 时变时滞
%K 复合能量函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DD9373584954386AB2162D50144DBB0B&yid=67289AFF6305E306&vid=339D79302DF62549&iid=59906B3B2830C2C5&sid=A7E55B1B50263111&eid=0E6C9B38667ABC5C&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=19