For one commonly used closed loop system with an unknown feedback con-troller, the constructed cost function, used to identify the unknown plant and noise filter, is modified to its simplified form, then being convenient for the latter model reference control. Given an expected matching function, the problems of model matching and noise suppression are also considered simultaneously to get a constrained optimization problem. To alleviate the dependency on unknown plant and noise filter for model reference control, the direct data driven model reference control is proposed to generate the optimal feedback controller, and its recursive generation is also given. The merit of this direct data driven model reference control is to apply the measured data to designing the unknown feedback controller, while satisfying the model matching and noise suppression. After comparing the detailed expressions of the optimal feedback controller for model reference control and this new direct data direct model reference control respectively, we see they are the same with each other, and our given recursive expression is more convenient for practical engineers.
