控制理论与应用2011，Vol.28Issue(6)：861-868,8.
未知时变时滞非线性参数化系统自适应迭代学习控制
Adaptive iterative learning control for nonlinear parameterized-systems with unknown time-varying delays
摘要
Abstract
A new adaptive iterative learning control approach is proposed for a class of nonlinear systems with unknown time-varying parameters and time-varying delays. By using the parameter separation technique combined with the signal replacement mechanism, a novel adaptive control strategy is designed to ensure the tracking error for converging to zero in the mean-square sense on a finite time-interval. A sufficient condition for the convergence is also given by constructing a Lyapunov-Krasovskii-like composite energy function. The approach can be applied to the nonlinear systems with time-varying parameters and delay dependent uncertainties. Two simulation examples are provided to illustrate the efficacy of the proposed control algorithms.关键词
非线性参数化系统/自适应迭代学习控制/时变参数/时变时滞/复合能量函数Key words
nonlinearly parameterized systems/adaptive iterative learning control/time-varying parameters/time-varying delays/composite energy function(CEF)分类
信息技术与安全科学引用本文复制引用
李俊民,王元亮,李新民..未知时变时滞非线性参数化系统自适应迭代学习控制[J].控制理论与应用,2011,28(6):861-868,8.基金项目
国家自然科学基金资助项目(60974139,60804021) （60974139,60804021）
中央高校基本科研业务费专项资金资助项目(72103676). （72103676）
