Abstract: A robust MPC strategy for grid-tied inverters based on the online identification of inductance and capacitance parameters is proposed to solve the problem of model predictive control for LC-type grid-tied inverters is susceptible to parameter variations. First, the impact of capacitance and inductance parameters variations on predictive performance in the model predictive control strategy of grid-tied inverters is analyzed. Then, based on the mathematical model of the LC-type grid-tied inverter, a current sliding mode observer and a voltage sliding mode observer are designed, respectively. Next, after analyzing the parameters sensitivity of designed sliding mode observers, a proportional-integral controller is utilized for designing the capacitance and inductance identification methods based on the model reference adaptive system. Finally, by substituting the identified capacitance and inductance parameters into the model predictive control algorithm, the control performance of model predictive control on grid-tied inverters can be significantly improved. The effectiveness of the proposed parameters identification method is verified by experiments.