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

Finite control set model predictive control (FCS-MPC) is a salient control method for power
conversion systems that has recently enjoyed remarkable popularity. Several studies …

In the Machine Learning (ML) era, faced with challenges, including exponential multi-sensor
data, an increasing number of actuators, and data-intensive algorithms, the development of …

This article presents a direct model predictive control (MPC) scheme for drive systems
consisting of a three-phase three-level neutral-point-clamped inverter and an induction …

Successful application of finite control set model predictive control strategies with long
prediction horizon depends on the careful design of the optimization algorithm. The …

In finite control set model predictive control strategies, extending the prediction horizon
length provides important closed-loop performance improvements. However, the …

This paper proposes a long-horizon direct model predictive control (MPC) with reference
tracking for medium-voltage (MV) drives that achieves favorable steady-state and transient …

Model predictive control (MPC) is an interesting regulation solution in the field of multiphase
electric drives. Its performance has been improved from different perspectives, but most …

Since the number of candidate vectors is increased in the multistep model predictive control
(MMPC) strategy, its calculation burden becomes a serious problem in implementation. To …

Semiconductors in power converters are operated in switched-mode. For a given sampling
frequency, a digital controller computes the next actuation according to several objectives …