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The problem of iterative learning control (ILC) is consideredfor a class of time-varying systems with random packet dropouts. It is assumed that an ILC scheme is implemented via a remote control systemand that packet dropout occurs during the packet transmission between the ILC controller and the actuator ofremote plant. The packet dropout is viewed as a binary switching sequence which is subject to the Bernoulli distribution. In order to eliminate the effect of packet dropouts on the convergence property of output error,the hold-input scheme is adopted  to compensate the packet dropout at the actuator. It is shown that the hold-input scheme with average ILC can achieve asymptotical convergencealong the iteration axis for discrete time-varying linear system. Numerical examples are provided to show the effectiveness of the proposed method

On Iterative Learning Control for Remote Control Systems with Packet Losses