引用本文: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.[点击复制]
LI Jun-min,WANG Yuan-liang,LI Xin-min.Adaptive iterative learning control for nonlinear parameterized-systems with unknown time-varying delays[J].Control Theory and Technology,2011,28(6):861~868.[点击复制]
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
摘要点击 2780  全文点击 2490  投稿时间:2009-09-22  修订日期:2010-10-16
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DOI编号  10.7641/j.issn.1000-8152.2011.6.CCTA091224
  2011,28(6):861-868
中文关键词  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
英文关键词  nonlinearly parameterized systems  adaptive iterative learning control  time-varying parameters  timevarying delays  composite energy function(CEF)
基金项目  国家自然科学基金资助项目(60974139, 60804021); 中央高校基本科研业务费专项资金资助项目(72103676).
作者单位E-mail
李俊民* 西安电子科技大学 应用数学系 jmli@mail.xidian.edu.cn 
王元亮 西安电子科技大学 应用数学系  
李新民 西安科技大学 通信学院  
中文摘要
      针对含有未知时变参数和时变时滞的非线性参数化系统, 提出了一种新的自适应迭代学习控制方法. 该方法将参数分离技术与信号置换思想相结合, 可以处理含有时变参数和时滞相关不确定性的非线性系统. 设计了一种自适应控制策略, 使跟踪误差的平方在一个有限区间上的积分渐近收敛于零. 通过构造Lyapunov-Krasovskii型复合能量函数, 给出了闭环系统收敛的一个充分条件. 给出两个仿真例子验证了控制方法的有效性.
英文摘要
      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 timevarying parameters and delay dependent uncertainties. Two simulation examples are provided to illustrate the efficacy of the proposed control algorithms.