Abstract
In this paper, iterative learning control(ILC) is used to solve the problem of accurate tracking of random systems with fading channel. The fading problem is a type of multiplicative uncertainties, which is generally caused by unreliable communication networks. It is modeled by a random variable with prior statistics for correcting received signals. Both output fading case and input fading case are discussed in this paper. The P-type learning algorithms with a decreasing learning gain are proposed with almost sure convergence analysis. Illustrative simulations are provided to verify the theoretical results.
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