Model based control and MFAC, which is better in simulation? *

This work presents a new data driven model free adaptive controller by virtue of the gradient information of the available plant model. Our approach is novel in the sense that we use the measured data to directly design the controller, and predict the system output using the plant model if the plant model is available. Whereas, the traditional model based control approach uses the measured data to identify the plant model firstly, and then uses the model to design and analyze the controller design based on this identified model. The main contribution is that this novel scheme opens a way for the data driven control method utilizing the plant model if the plant model is available. The theoretical analysis and the simulation results demonstrate the effectiveness and superiorities of the proposed method.