Abstract: Presents a two-level production, self-learning expert controller for a certain kind of systems. Based on a feature model that is closer to perfectness, the controller applies the control theory to intelligent and self-learning controls. The resulting self-learning expert controller possesses good control performance and adaptivity, as has been confirmed by simulation results. Two kinds of effective inference are proposed for each level, to improve the real-time properties of the controller.