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

In applications such as transportation electrification there are strict requirements regarding
efficiency, reliability, power density, and cost. Therefore, a diverse array of circuit topologies …

This article proposes a dual-vector finite-control-set model predictive control (FCS-MPC)
with reduced complexity for a novel nine-level active neutral point clamped (ANPC) …

Since a data-driven model is adopted to describe the operating state of the plant in the
model-free predictive control, it has been widely used in the motor driving realm to eliminate …

This work presents a novel optimization method for the implementation of finite-state model-
based predictive current controllers in electrical drives. The proposal avoids the usual …

With the development of power switches and processor performance in recent years, the
control frequency of inverters has been significantly improved. However, limited by …

A single-phase five-level T-type topology has been investigated in this article. This topology
has emerged as a viable option for renewable energy systems (RES) due to its inherent …

Model predictive control (MPC) is a powerful strategy for tackling multiobjective control
challenges, but it often involves a laborious process of tuning weighting factors. This article …

This article proposes a new droop control design method based on a “reversed data
training” of artificial neural network (ANN). Conventionally, after data collection, the ANN is …

AC/DC converters, controlled by pulse width modulation (PWM) and used as power factor
correction (PFC), is considered one of the main contributors to emissions in the range 2 kHz …