Model predictive control (MPC), manly based on a direct use of an explicit and identifiable
model, has been widely used in controller design in different applications both by academia …

Model predictive control (MPC) suffers from high computational burden and cumbersome
tuning of weighting factors especially for three-level three-phase inverters. Here, a fast finite …

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 …

In this article, a novel continuous control set model predictive control (CCS–MPC) is
proposed for an LC-filtered three-phase three-level four-wire voltage-source inverter (3P-4W …

Direct model predictive control (DMPC) of permanent magnet synchronous generators with
full-scale back-to-back (BTB) converters plays an important role in improving the power …

This article presents a simplified discrete space vector modulation (DSVM)-based predictive
torque control (PTC) scheme in order to improve the performance of a two-level inverter-fed …

This article proposes a low-complexity multistep sequential model predictive current control
(M-SMPCC) for three-level inverter-fed linear induction machine (LIM) drives to further …

Finite control-set (FCS) model predictive control (MPC) is an attractive control technique,
which exhibits fast response, intuitive principles, and multivariable control. However, the …

In this article, an efficient model predictive control (MPC) using virtual voltage vectors for
three-phase three-level converters is proposed. The proposed MPC achieves constant …

–This paper proposes an efficient and optimal reduced control set model predictive flux
control (RCS-MPFC) for a three-level neutral-point-clamped voltage source inverter (3L …