This paper proposes a new data-driven control method with non-parametric map. The method yields the input for tracking control by minimizing a stochastic cost function which consists of I/O data set of the plant. One of the advantages of the proposed method is that it does not need a prior information about the nonlinear system such as their structure. An experiment is given to show the effectiveness of the proposed controllers.