Abstract: Optimal adaptive controllers based on input matching for the stochastic systems are studied by using least squares algorithms in this paper. The one-step-ahead least squares method is established and the convergence rate of the parameter estimation is obtained. Without any excited condition it is shown that the closed-loop system is globally stable and adaptive control converges to the one-step-ahead optimal control.