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In MATLAB, the design of a Model Predictive Controller (MPC) for a Buck Converter involves developing a dynamic model of the converter, implementing the MPC algorithm to optimize performance objectives, such as output voltage regulation and efficiency, and tuning controller parameters to balance performance and computational complexity. The MPC framework enables the controller to predict future system behavior based on current states and inputs, facilitating proactive adjustments to control actions. MATLAB offers dedicated tools for MPC design and simulation, allowing engineers to refine the control strategy iteratively and optimize the converter's operation under diverse operating conditions, making it a versatile platform for advanced control algorithm development in power electronics systems like Buck Converters.

Model Predictive Controller Design for Buck Converter in MATLAB

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