The power electronics industry is undergoing a revolution driven by an industry 4.0
perspective, with smart and green/hybrid energy management systems being the …

The phenomenal growth of the Electric Vehicle (EV) technology demands efficient and
intelligent control strategies for the propulsion system. In this work, a novel fuzzy fractional …

This paper presents the applicability of the future fifth-generation network technology for a
marine vessel power system with sea wave energy, photovoltaic, and energy storage …

The tracking accuracy of speed plays a significant role in the autonomous vehicle's control
and safety management. In this study, we presented a novel method called self‐adaptive …

In this paper, battery electric vehicle (BEV) controllers are smartly tuned with particle swarm
optimization (PSO) and genetic algorithm (GA) to ensure good speed regulation. Intelligent …

This work presents a generic two-degree-of-freedom fractional order fuzzy PI-D (2DOF
FOFPI-D) controller dedicated to a class of nonlinear systems. The control law for proposed …

Electric vehicles (EVs) have assumed prominence due to their enhanced performance,
efficiency, and zero carbon emission. This paper proposes an efficient adaptive neuro-fuzzy …

Electric vehicles (EVs) are expected to account for a significant percentage of the vehicle
market in the coming years. The speed regulator is the inseparable part of EVs to solve …

In this study, a fractional order fuzzy proportional‐integral‐derivative (FOFPID) controller is
designed for load frequency control of four‐area interconnected power systems. The model …

One of the central problems in control theory is related to the design of controllers for the
improvement of system performance. The aim of this paper is to design an efficient digital …