Model predictive control (MPC), manly based on a direct use of an explicit and identifiable
model, has been widely used in controller design in different applications both by academia …

Model-based predictive control (MPC) is an attractive solution for controlling power
converters and drives. This research shows the most recent alternatives of predictive control …

It is challenging to select the best control strategy to regulate the output voltage of a DC–DC
boost converter in DC MicroGrids (MGs). Indeed, the controller must cope with the standard …

The explicit model predictive control (MPC) can solve the piecewise control laws offline to
save online implementation burden. However, many offline control laws have to be stored to …

In the paper a comparative study of the two control structures based on MPC (Model
Predictive Control) for an electrical drive system with an induction motor are presented. As …

An interleaved DC–DC boost converter is widely used in DC power systems such as fuel cell
systems or other systems requiring high‐power quality for increasing and stabilising the …

Wireless power transfer (WPT) system based on a dynamic wireless charging (DWC)
scheme, eliminates waiting time for charging electric vehicles (EVs), increases the range of …

A novel periodic energy control (PEC) strategy for dc–dc converters is proposed in this letter,
where the port nearest to the load is selected as the energy control target, considering the …

Recently finite control set model predictive control (FCS-MPC) becomes a promising
solution for controlling power electronics devices (PEDs). Although FCS-MPC produces …

This article provides an overview of control algorithms for grid-connected converters in
renewable energy systems, demonstrating their relevance and potential for further research …