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

This article proposes a gradient descent (GD) algorithm-based B-spline wavelet neural
network (GDBSWNN) learning adaptive controller for linear motor (LM) systems under …

This article presents a model-free predictive current control (MFPCC) method for dual three-
phase permanent magnet synchronous machines with an optimal modulation pattern. First …

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 …

Multilevel inverters (MLIs) have lately become important due to their extended application to
electrical transmission and distribution systems. At the same time, the control and …

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 deals with the real-time implementation of a long-horizon finite control set model
predictive control (FCS-MPC) algorithm on an embedded system. The targeted application is …

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 …

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 …