This study aims to provide a detailed procedure to deploy model predictive control (MPC) for the single-phase voltage-source inverter. Simulation and implementation of other control methods for the single-phase voltage-source inverter, including the sinusoidal pulse width (SPWM) and the hysteresis methods, are also given. In MPC control deployment for the single-phase voltage-source inverter, the mathematical model of the inverter is first required. Based on the obtained model of the inverter, discrete-time forms of the inductor current and the capacitor voltage can be conveniently formulated. The optimal control action in each sampling interval is selected based on the minimum value of a cost function, defined as the difference between the predicted value and the desired value of the current or voltage. Compared to conventional control methods for the single-phase inverter, the MPC method requires accurate sensors, and its implementation is also sometimes challenging. In this study, control methods for the single-phase voltage-source inverter are conveniently deployed using the KIT STM32F407 DISCOVERY. The simulation and experimental results have proven that the MPC algorithm is suitable for fully understanding the concept of model-based discrete control of the single-phase voltage-source inverter and other types of power converters.