As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Model-predictive control (MPC) has emerged as a promising control method in power
electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) …

The application of model predictive control in electrical drives has been studied extensively
in the past decade. This article presents what the authors consider the most relevant …

This paper presents a new and very simple strategy for torque and flux control of ac
machines. The method is based on model predictive control and uses one cost function for …

Finite control set model predictive control (FCS-MPC) calculates torque and flux tracking
errors via a cost function that is used for selecting the optimal vector. Compared with field …

The use of artificial neural networks (ANNs) for the selection of weighting factors in cost
function of the finite-set model-predictive control (FS-MPC) algorithm can speed up selection …

In the past years, finite-set model predictive control (FS-MPC) has received a lot of attention
in the power electronics field. Due to very simple inclusion of the control objectives and …

Conventional model predictive direct speed control (MP-DSC) has received extensive
attention because of its easy implementation, fast dynamic response, and simple structure …

This paper presents a method that overcomes the problem of the confusion during fast
irradiance change in the classical maximum power point tracking (MPPT) as well as in …

In this paper, new techniques are presented to improve the performance of the optimal
switching vector model predictive control. A well-defined analytic technique is proposed for …