Predictive control has emerged as a promising control method in a variety of technological
fields. Model predictive control, as one of the subdivisions of this control method, has found …

In this paper, a resonant converter model is proposed that takes into account the thermal
and electrical dynamics of the main components. With respect to state‐of‐art, where model …

The reinforcement learning (RL) control approach with application to power electronics
systems has become an emerging topic, while the sim-to-real issue remains a challenging …

The Lyapunov concept is an adaptive algorithm that provides accurate and reliable solutions
in the control of power circuits, while the soft switching technique is an advanced method …

An on‐line generalised model predictive control (GMPC) strategy is designed and optimised
with a novel identification procedure in the presence of different disturbances. The principle …

An accurate definition of a system model significantly affects the performance of model-
based control strategies, for example, model predictive control (MPC). In this paper, a model …

The dual active bridge DC-DC converter is a promising power converter used in several
applications. Much research has been focusing on the study of such a converter from …

The control of interleaved converters is commonly implemented through pulsewith
modulation (PWM) techniques. A common element in these implementations is the use of …

This work presents a novel optimization method for the implementation of finite-state model-
based predictive current controllers in electrical drives. The proposal avoids the usual …

In this paper, for standalone and grid‐connected PV systems, a three‐phase simplified split‐
source inverter (SSI) is proposed and controlled using a model‐predictive control (MPC) …