An iterative learning control algorithm was proposed for linear time-invariant systems based on optimal theory. On the basis of the quadratic performance criterion, a gradient descent search method was adopted to fit the iterative learning control law. Simulation results demonstrate that the proposed algorithm has rapid convergence speed. Moreover, the actual output of the systems can track the given trajectory rapidly under less iterated times.