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 *** condit...
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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 *** condition of allowing system state initially to have error in the iterative process a closed-loopp-type iterative learningalgorithm is presented,and the sufficient condition of tracking error convergence in L2 norm is ***,the convergence of the tracking error in L2 and W1,2 space is proved by using Gronwall-Bellman inequality and Sobolev *** the end,a numerical example is given to illustrate the effectiveness of the proposed method.
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