Economic efficient Autonomous Road Vehicles (ARVs) are invariably subjected to
uncertainties and perturbations. Therefore, control of vehicle systems requires stability to …

Harmonic noises widely exist in industrial fields and always affect the computational
accuracy of neural network models. The existing original adaptive zeroing neural network …

This article addresses the development and experimental validation of a trajectory-tracking
control for a miniature autonomous Quadrotor helicopter system (X4-prototype) using a …

In this paper, a fractional nonlinear control strategy based on the nested saturations
technique and the Caputo-Fabrizio derivative for a quadrotor aircraft, to maintain desired …

A new adaptive-like neural control strategy for motion reference trajectory tracking for a
nonlinear electromagnetic suspension dynamic system is introduced. Artificial neural …

Artificial intelligence stands for an excellent alternative to be considered in development of
new adaptive high-efficiency control design methodologies for uncertain modern complex …

Matrix inversion is commonly encountered in the field of mathematics. Therefore, many
methods, including zeroing neural network (ZNN), are proposed to solve matrix inversion …

This paper deals with the motion trajectory tracking control problem based on output
feedback and artificial neural networks for anthropomorphic manipulator robots under …

Aiming at the problem of trajectory tracking control for mobile robot nonlinear systems with
non-repetitive uncertain parameters, we propose a novel neural network compensator …

Robotic systems have experienced exponential growth in their utilization for manufacturing
applications over recent decades. Control systems responsible for executing desired robot …