Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

There is an increasing interest and research effort focused on the analysis, design and
implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is …

Direct model predictive control (MPC) with reference tracking, also referred to as finite
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …

As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Model-predictive control (MPC) has emerged as a promising control method in power
electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) …

The use of artificial neural networks (ANNs) for the selection of weighting factors in cost
function of the finite-set model-predictive control (FS-MPC) algorithm can speed up selection …

Conventional finite control set model-predictive control (FCS-MPC) presents a high
computational burden, especially in three-level neutral-point-clamped (NPC) converters …

In this article, a low complexity finite-control-set model predictive control (FCS-MPC) based
on the discrete space vector modulation (DSVM) is proposed for T-type three-phase three …

Conventional model predictive control (MPC) suffers from unfixed switching frequency,
heavy computational burden, and cumbersome weighting factors' tuning, especially for …

In this work, a model predictive control (MPC) strategy based on optimal switching sequence
(OSS) concepts is proposed for a grid-connected three-level neutral-point clamped …