The need to reduce the use of fossil fuels and greenhouse gas (GHG) emissions produced
by the transport sector has generated a clear increasing trend in transportation electrification …

In recent years, with the rapid development of the electric vehicles (EVs) industry, the
charging system for EVs has been gradually improving. As a crucial component in the field …

This paper introduces a novel direct torque control approach based on the decision tree (T-
DTC), employing artificial neural networks that are effectively trained to enhance accuracy …

The requirement of high power rated, efficient and high power density grid connected
converters has increased due to their extended use in multiple applications such as battery …

Intelligent transportation is a new type of transportation system, and it can improve the
transport service system through utilizing lots of modern electronic information technologies …

This paper presents an advanced strategy combining fuzzy logic and artificial neural
networks (ANNs) for direct torque control (DTC) and broken‐bar fault diagnosis in induction …

In this paper, an intelligent control of the single-phase shunt active filter (SP-SAF) for power
quality improvement is proposed. The developed approach is essentially composed of two …

The step-down DC/DC converter is characterized by the parametric uncertainty of its model
and its high sensitivity to external disturbances identified by variations in the input voltage …

In this work, a new control methodology is proposed for Type-IV wind energy conversion
system (WECS) using a self-recurrent wavelet neural network (SRWNN) control with a …

This paper presents a modern solution based on power electronics, recommended to solve
the problems posed by harmonic pollution of the electrical network. This pollution is …