Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

Model predictive control (MPC) is a very attractive solution for controlling power electronic
converters. The aim of this paper is to present and discuss the latest developments in MPC …

This paper addresses to some of the latest contributions on the application of Finite Control
Set Model Predictive Control (FCS-MPC) in Power Electronics. In FCS-MPC, the switching …

Predictive control is a very wide class of controllers that have found rather recent application
in the control of power converters. Research on this topic has been increased in the last …

A model predictive control system for a hybrid battery-ultracapacitor power source is
proposed and experimentally verified in this paper. The main advantage of the proposed …

Many commercial controller implementations for dc-dc converters are based on pulse-width
modulation (PWM) and small-signal analysis. Increasing switching frequencies, linked in …

This paper presents a model predictive control (MPC) approach for dc-dc boost converters.
A discrete-time switched nonlinear (hybrid) model of the converter is derived, which captures …

Electronic power converters (EPCs) are the key elements of the smart dc microgrid
architectures. In order to enhance the controllability of the system, most of the elements are …

Five recent techniques from hybrid and optimal control are evaluated on two power
electronics benchmark problems. The benchmarks involve a number of practically …

While the identification of nonlinear dynamical systems is a fundamental building block of
model-based reinforcement learning and feedback control, its sample complexity is only …