引用本文:戴喜生,郭亚君,田森平,李克讷.非线性抛物型偏差分系统迭代学习控制[J].控制理论与应用,2015,32(12):1607~1612.[点击复制]
Dai Xi-sheng,GuoYajun,Tian Senping,Li kene.Iterative learning control of nonlinear parabolic partial difference systems[J].Control Theory and Technology,2015,32(12):1607~1612.[点击复制]
非线性抛物型偏差分系统迭代学习控制
Iterative learning control of nonlinear parabolic partial difference systems
摘要点击 1716  全文点击 1914  投稿时间:2015-03-25  修订日期:2015-06-20
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DOI编号  10.7641/CTA.2016.50230
  2015,32(12):1607-1612
中文关键词  迭代学习控制  收敛性分析  偏差分系统  非线性
英文关键词  iterative learning control  convergence analysis  partial difference systems  nonlinear
基金项目  国家自然科学基金项目(61364006, 61374104), 广西优秀中青年骨干教师培养工程, 广西高等学校科研一般项目(2013YB175)资助.
作者单位E-mail
戴喜生* 广西科技大学 mathdxs@163.com 
郭亚君 广西科技大学  
田森平 华南理工大学  
李克讷 广西科技大学  
中文摘要
      本文研究了一类时空离散的非线性抛物型偏差分系统的迭代学习控制问题. 首先, 针对系统含有不确定系 数与非线性特点, 设计了开环P型迭代学习控制算法; 然后, 建立了输出跟踪误差沿迭代轴收敛的充分条件, 并利用 离散Gronwall不等式、范数以及压缩映射原理, 详细给出了收敛性分析证明. 最后通过仿真实例说明了算法的有 效性.
英文摘要
      The iterative learning control (ILC) technique is applied to a class of spatial-temporal discrete nonlinear parabolic partial difference systems. For the discussion purpose, an open-loop P-type iterative learning algorithm is designed for the systems containing uncertain coefficients and nonlinear terms. Then, the sufficient condition of the tracking error to converge is established, and the convergence analysis is discussed using discrete Gronwall inequality, -norm and the contraction mapping principle. Furthermore, a simulation example is given to illustrate the effectiveness of the proposed algorithm.