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

Despite being cost-effective, seven-level Modified Packed U-Cell (MPUC7) active rectifier
tends to be unstable due to unequal dc-links. Thus, a multiobjective controller is required to …

This article proposes a novel data-driven neural predictors-based robust finite control-set
model predictive control (FCS-MPC) methodology for power converters, which aims to …

Nowadays, single-dc-source multilevel inverter (SDCS-MLI) topologies are being
considered as more suitable for many power system applications such as renewable energy …

This article proposes a sensorless self-tuning control algorithm for a three-phase T-type
rectifier. The proposed sensorless algorithm consists of three layers including an observer …

To optimize the voltage regulation performance and enhance the robustness, an adaptive
model predictive controller is proposed in this article for an interleaved dc–dc boost …

In this article, a novel robust data-driven model-free predictive control framework based on
the I/O data of the controlled plants, which is performed by incorporating the neural predictor …

This article proposes a passivity method synthesized by an adaptive neuro fuzzy inference
system (ANFIS) to control a grid-tied nine-level packed E-cell (PEC9) inverter. PEC9 is an …

This article proposes a digital twin (DT)-based diagnosis and fault-tolerant control for T-type
three-level rectifiers. To develop the DT, a dense deep neural network (DNN) machine …

Mitigation of the leakage current components represents a critical issue in transformerless
photovoltaic (PV) inverters. Recently, PV inverters with inherent common-ground (CG) …