The model predictive control (MPC) technique for a solar-based series-resonant inverter conventionally used in domestic heating is explored. The photovoltaic energy system (PVES) converts the solar energy into electrical energy where DC voltages of different cells are linked at a common bus. A Cuk-converter is used to interface the PVES with the DC load bus and the heating inverter. These heating inverters are replacing gas cookers in restaurants, guest rooms, and domestic- and commercial-kitchens for cooking of various foods. A number of control algorithms have been employed to control the power of the heating inverter but they have certain limitations; especially they do not predict the future response of the circuit. The MPC, an advanced control approach, has the potential to estimate the future behaviour of the model in a predictive manner. Hence, to control the power of the resonant inverter connected with a 3.36 kW heating load, MPC is applied. The simulation results verify the validity of the power control of a solar-based series-resonant inverter using the MPC algorithm.