A PD-type iterative learning control(ILC) algorithm is proposed for the linear motor system in which there exist measurement signals dropout and control signals delay. The probability of the measurement dropout is unknown but belongs to a known numerical interval. The given advanced method is used to deal with the control delay. The convergence of the algorithm is proved by using Bellman-gronwall inequality and $\lambda$ norm theory. The simulation results demonstrate the effectiveness of the proposed algorithm.