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Ítem Model Predictive Control for Power Converters and Drives: Advances and Trends(Institute of Electrical and Electronics Engineers Inc., 2017-02) Vazquez, Sergio; Rodriguez, Jose; Rivera, Marco; Franquelo, Leopoldo G.; Norambuena, MargaritaModel predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities. © 2016 IEEE.Ítem Model Predictive Control for Power Converters and Drives: Advances and Trends(Institute of Electrical and Electronics Engineers Inc., 2017-02) Vazquez, Sergio; Rivera, Marco; Franquelo, Leopoldo G.; Norambuena, MargaritaModel predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities. © 2016 IEEE.