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Closed-loop P-type Iterative Learning Control of Uncertain Linear Distributed Parameter Systems

         

摘要

An iterative learning control problem for a class of uncertain linear parabolic distributed parameter systems is discussed, which covers many processes such as heat and mass transfer, convection diffusion and transport. Under condition of allowing system state initially to have error in the iterative process a closed-loop P-type iterative learning algorithm is presented,and the sufficient condition of tracking error convergence in L2norm is given. Next, the convergence of the tracking error in L2and W 1,2space is proved by using Gronwall-Bellman inequality and Sobolev inequality. In the end, a numerical example is given to illustrate the effectiveness of the proposed method.

著录项

  • 来源
    《自动化学报(英文版)》 |2014年第3期|267-273|共7页
  • 作者单位

    the School of Electrical and Information Engi-neering, Guangxi University of Science and Technology, Liuzhou 545006, China;

    the School of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao 266510, China;

    the School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640, China;

    the School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640, China;

    the School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China;

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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