In today's world, Artificial Intelligence is one of the deepest and newest things to learn and
research. Research on Artificial Intelligence is based on some goals and the use of some …

A power electronic converters' reliability is crucial for power systems. The degradation and
failure of the switching devices are mainly related to their junction temperature. The …

This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …

In this article, a new soft switching isolated push-pull dc-dc converter using a three-winding
transformer is proposed. The proposed hybrid resonant and pulse width modulated …

This paper presents a load voltage based (LVB) maximum power point tracking (MPPT)
technique using adaptive step-size (ASS) for standalone photovoltaic (PV) systems. The …

In this paper, direct model predictive control (DMPC) of the noninverting buck-boost DC-DC
converter with magnetic coupling between input and output is proposed. Unlike most of the …

Renewable energy sources, especially photovoltaic (PV) ones, are gaining more and more
interest due to the predicted lack of conventional sources over the coming years. That …

This paper presents a grid-connected wind energy conversion system (WECS) that
leverages the benefits of a permanent magnet synchronous generator and a finite control set …

In this paper, a modified fast terminal sliding mode control (FTSMC) with a fixed switching
frequency is proposed for regulating the output voltage of the DC‐DC buck converters. The …

Proportional-integral (PI) control and model predictive control (MPC) are mainly utilized in
battery and supercapacitor (SC) hybrid energy storage system (HESS) of dc microgrid …