In order to accelerate the convergence speed of iterative leing control (ILC),taking the P-type leing algorithm as an example,a correction algorithm with kel-based autoassociative is proposed for the linear system.The leing mechanism of human brain associative memory is introduced to the traditional ILC.The control value of the subsequent time is precorrected with the current time information by association in each iterative leing process.The leing efficiency of the whole system is improved significantly with the proposed algorithm.Through the rigorous analysis,it shows that under this new designed ILC scheme,the uniform convergence of the state tracking error is guaranteed.Numerical simulations illustrate the effectiveness of the proposed associative control scheme and the validity of the conclusion.