引用本文:李晓东.基于模型辨识的非线性连续系统的迭代学习控制[J].控制理论与应用,2002,19(5):785~788.[点击复制]
LI Xiao-dong.Approach of iterative learning control for nonlinear continuous system based on model identification[J].Control Theory and Technology,2002,19(5):785~788.[点击复制]
基于模型辨识的非线性连续系统的迭代学习控制
Approach of iterative learning control for nonlinear continuous system based on model identification
摘要点击 1535  全文点击 1629  投稿时间:1999-12-14  修订日期:2002-04-05
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DOI编号  10.7641/j.issn.1000-8152.2002.5.027
  2002,19(5):785-788
中文关键词  模型辨识  非线性连续系统  迭代学习控制
英文关键词  model identification  nonlinear continuous system  iterative learning control
基金项目  
作者单位E-mail
李晓东 中山大学电子系 广州510275 xdlnx@263.net 
中文摘要
      基于非线性连续动态的模型辨识算法, 给出了非线性连续系统的一种非常有效的迭代学习控制方案. 该控制方案不要求非线性连续系统中具体的非线性关系, 并且容许系统初始误差的存在.
英文摘要
      Based on the proposed algorithm for model identification, this paper presents a very efficient approach of iterative learning control (ILC) for nonlinear continuous system, in which the concrete nonlinear relation of the nonlinear continuous system is not required, and the initial error of the system is permitted.