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

Multiphase machines have attracted the attention of the research and industrial communities
due to their advantages, namely better power distribution and fault-tolerant capabilities …

Artificial neural network (ANN) has recently been considered in weighting factors (WFs)
optimization for finite control-set model predictive control (FCS-MPC). However, the training …

In this article, an improved multiobjective ant colony optimization (ACO) algorithm is
proposed to design the weighting factors (WFs) in the model predictive control of power …

The use of multiphase machines has become a suitable choice in high-performance industry
applications through advantages such as lesser torque ripple, enhanced current distribution …

Finite-set model predictive control (FS-MPC) appears to be a promising and effective control
method for power electronic converters. Conventional FS-MPC suffers from the time …

Finite control set model predictive control (FCS-MPC) has been widely used in the control of
power converters. However, for converters with multiple optimization objectives, the design …

The design of the weighting factor in model predictive torque control (MPTC) is a tricky and
time-consuming problem. To obtain the optimal weighting factor without the tedious tuning …

Literature reviews affirm the constructive influence of the intelligent predictive multiobjective
control (IPMOC) on the power quality, power ancillary services, efficiency, and reliability …

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 …