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

Induction motor (IM) drives, specifically the three-phase IMs, are a nonlinear system that are
difficult to explain theoretically because of their sudden changes in load or speed conditions …

Existing pieces of literature on previous studies advocate the research focus by various
researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants …

In this paper, a priority sorting approach based on simplified model predictive control (MPC)
is proposed for modular multilevel converter (MMC). It aims at reducing the computational …

A very simple sequential model predictive control (SMPC) is recently proposed to achieve
high performance control of induction motor drives. By evaluating two separate cost …

In this article a finite control set model predictive control, is used to track a current reference
in a power converter connected to an load. An artificial intelligence approach is presented …

The conventional model predictive torque control (MPTC) for induction motor drives
evaluates the electromagnetic torque and stator flux linkage in the cost function. However, in …

This paper introduces a comprehensive examination of vector-controlled-(VC-) based
techniques intended for induction motor (IM) drives. In addition, the evaluation and critique …