Model 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 …

Model-based predictive control (MPC) for power converters and drives is a control technique
that has gained attention in the research community. The main reason for this is that …

This paper proposes the use of an artificial neural network (ANN) for solving one of the
ongoing research challenges in finite set-model predictive control (FSMPC) of power …

The evolution of power electronics and its control has been mainly driven by industry
applications and influenced by the development achieved in several technologies, such as …

Model Predictive Control of Wind Energy Conversion Systems addresses the predicative
control strategy that has emerged as a promising digital control tool within the field of power …

This paper addresses to some of the latest contributions on the application of Finite Control
Set Model Predictive Control (FCS-MPC) in Power Electronics. In FCS-MPC, the switching …

When control schemes based on finite control set model predictive control are
experimentally implemented, a large amount of calculations is required, introducing a …

In this paper, finite-set model-predictive control (FS-MPC) methodologies for a grid-
connected three-level neutral-point-clamped converter are investigated. The proposed …

This paper presents a detailed description of finite control set model predictive control (FCS-
MPC) applied to power converters. Several key aspects related to this methodology are, in …

For direct model predictive control with reference tracking of the converter current, we derive
an efficient optimization algorithm that allows us to solve the control problem for very long …