This work designs a powerful new nonlinear control technique using synergetic control (SC),
proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy …

The increasing demand for sustainable energy has spurred interest in biofuels as a
renewable alternative to fossil fuels. Biomass gasification and pyrolysis are two prominent …

A type‐2 fuzzy logic‐based adaptive backstepping control (T2F‐ABSC) approach is
presented for a DC/DC Buck converter. Lyapunov‐based backstepping control (BSC), which …

In this study, a global fast terminal sliding-mode control (GFTSMC), which offers a faster
convergence performance than its counterparts is constructed for managing the state …

Hybrid microgrid optimization, integration, and control are becoming increasingly important.
Renewable energy source integrations are being used more often in shipping ports, as well …

Abstract A DC-DC buck converter (DDBC) plays a crucial role in facilitating the rapid
evolution of Internet of Things (IoT) applications across a broad spectrum of load …

This paper proposes a high-performance control strategy for dc–dc converters supplying
combined loads (constant current/power, and/or linear loads). This strategy combines a …

This paper describes an application of Equilibrium optimizer (EO) and Fuzzy Logic Control
(FLC) at Load Frequency Control (LFC) with multi-source generators, which comprises …

Recent advance in photovoltaic (PV) power generation has provided a great opportunity for
transitioning to renewable energy sources. Precise PV prediction is pivotal for bolstering grid …

The study focuses on computing the optimized foot profile for a walking leg mechanism
using artificial neural network (ANN), genetic algorithm, and regression approaches. The …