As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

This paper presents a review of the various control strategies that have been conducted to
address and resolve several challenges for a particular category of unmanned aerial …

This paper presents a novel Reinforcement Learning (RL)-based control approach that uses
a combination of a Deep Q-Learning (DQL) algorithm and a metaheuristic Gravitational …

In this article, a fractional-order sliding mode control (FOSMC) scheme is proposed for
mitigating harmonic distortions in the power system, whereby a self-constructing recurrent …

A self-evolving recurrent Chebyshev fuzzy neural network (SERCFNN) approximator based
on a fractional order sliding mode controller (FOSMC) is developed for an active power filter …

The Maglev process consists in a magnetic field geerated by the modulation of a coil current
which yields the sphere levitation. Foucault current is the current transmitted from the coil to …

To maintain the vibrations of the gyroscope proof mass, a trajectory tracking control system
using a neural network estimator is proposed. The proposed control system incorporates a …

We develop and experimentally test a prescribed performance control methodology for
trajectory tracking of underactuated autonomous aerial vehicles under unknown time …

Biomimetics is the development of novel theories and technologies by emulating the models
and systems of nature. The transfer of function from biological science into engineering …

Robotic manipulators have extensive applications in academic and industrial fields such as
grabbing, welding, and machining. Nowadays, better tracking performance and faster …