In this paper, a neural network based terminal iterative learning control (NNTILC) method is proposed for a class of discrete time uncertain linear systems to track run-varying reference point. The zero error initial condition in most of the previous work on terminal iterative learning control (TILC) is removed by the use of neural network. A radial basis function (RBF) neural network is developed to approximate the effect of initial state and reference on terminal output iteratively. By involving these infor…
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