Abstract: In wireless remote control systems, one feature is that signals are transmitted in wireless network from the sensor to the controller and from the controller to the actuator, but signals are inevitably disturbed by channel noises, which affect the performance of wireless remote control systems seriously. For a class of wireless remote control systems with iterative learning control (ILC) method in the controller, the relation of channel noises and output error is derived first, and then the influence of channel noises on the expectation of squared -norm of output error is analyzed. The analysis shows that the expectation is a function of system parameters and channel noise variances, and converges to a limit error with the increase of iteration number. When system parameters are fixed, the value of the limit error increases with the increase of channel noise variances, which means the larger channel noise variances are; the greater the influence on the tracking performance is. Finally, simulation experiments are presented to demonstrate the correctness of the conclusion.