Grid-connected converters (GCCs) are used extensively for the integration of DC power
sources with AC power sources. However, since it is a complex topic, there are many …

This work presents the discrete‐time stability analysis of a hybrid robust model reference
adaptive controller and proportional‐integral controller (MRAC‐PI) controller using …

This research paper presents a novel approach to current control in Grid-Connected
Inverters (GCI) using Deep Reinforcement Learning (DRL) based Twin Delayed Deep …

The wind velocities are unpredictable, and generating power with persistent speed is difficult
which comprises mechanical stress at the rotor that leads to poor efficiency. So, variable …

The increasing penetration of renewable energy systems into the global energy matrix is a
necessity for sustainable development. The benefits impact the well-being of humanity and …

Many current controllers are designed based on linear models, which may lead to poor
performance when limiting its variables to a safe operation region, or even lead to instability …

Vibration-based fault diagnosis from rotary machinery requires prior feature extraction,
feature selection, or dimensionality reduction. Feature extraction is tedious, and …

Accurate estimation of frictional pressure loss in an annulus is crucial for selecting
appropriate pump systems, determining horsepower requirements, and controlling hole …

This work presents an evolutionary-based parametrization for a new discrete-time robust
adaptive second-order sliding mode controller. The automatic design procedure is …

Renewable energy research has become significant in the modern period owing to
escalating prices of fossil fuels and the pressing need to reduce greenhouse gas emissions …