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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 L2 norm is given.Next,the convergence of the tracking error in L2 and W1,2 space 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003期|P.267-273|共7页
  • 作者单位

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

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

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

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  • 正文语种 CHI
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