Current control methods for nonlinear stochastic system have the shortcomings such as complex design procedures, high costs, and lack of stability and convergence proof. Therefore, based on the equivalent nonlinear system method for obtaining the approximate stationary solutions of the nonlinear stochastic systems, this paper proposes an innovative design procedure for the feedback control of stochastic nonlinear system. The control aims at making the statistical information of the output steadystate probability density function (SPDF) follow those of a target SPDF. Moreover, Lyapunov function method is presented to verify the convergence of the controlled systems. Simulation results are also given to illustrate the feasibility and efficiency of this innovative design procedure.