This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …

In recent years, batteries have evolved increasingly overall in numerous applications.
Among batteries, LIBs are the most advantageous technology because of their raised power …

Distributed energy sources (DERs) and microgrids (MGs) will play an important role in
improving the resilience, reliability and sustainability of the grid through dedicated …

The DC motor is being rapidly replaced in the industry by the permanent magnet
synchronous motor (PMSM), which has a number of benefits over it. Nonlinear equations are …

This paper presents a novel architecture to enhance the performance of grid‐connected
photovoltaic (PV) systems through the introduction of several key novelties. Firstly, a packed …

This article proposes an extreme learning machine (ELM)‐based super‐twisting integral
terminal sliding mode control (STITSMC) for speed regulation of a permanent magnet …

Abstract Switched Reluctance Motor (SRM) has a very high potential for adjustable speed
drive operation due to their cost-effectiveness, high efficiency, robustness, simplicity, etc …

The nonlinearities present in photovoltaic (PV) generator models can significantly impact the
performance of PV systems, leading to decreased system efficiency and reduced …

A passivity-based control (PBC) technique is proposed to overcome the speed tracking
issue of the permanent magnet synchronous motors (PMSM). This approach offers a notable …

The rapidly develo** electric vehicle markets sets up a huge platform on electric motors
demand, within this market there is a huge trend in electric motor control strategies and the …