[HTML][HTML] Task assignment algorithms for unmanned aerial vehicle networks: A comprehensive survey

S Poudel, S Moh - Vehicular Communications, 2022 - Elsevier
Unmanned aerial vehicles (UAVs) have significant prospects in a plethora of public and civic
spheres. Recently, UAVs have focused primarily on applications where human presence is …

Continuous nonsingular terminal sliding-mode control with integral-type sliding surface for disturbed systems: Application to attitude control for quadrotor UAVs under …

NP Nguyen, H Oh, J Moon - IEEE Transactions on Aerospace …, 2022 - ieeexplore.ieee.org
This article proposes a continuous nonsingular terminal sliding-mode control with integral-
type sliding surface (CNTSMC-ISS) framework for disturbed systems, in which we consider …

Demystifying artificial intelligence amidst sustainable agricultural water management

A Srivastava, S Jain, R Maity, VR Desai - Current Directions in Water …, 2022 - Elsevier
The 21st-century agricultural industry is witnessing negative impacts of climate change, land
and water scarcity, and more recently, a global COVID-19 pandemic. Consequently, the …

Improved Performance in Quadrotor Trajectory Tracking Using MIMO PIλ-D Control

VP Shankaran, SI Azid, U Mehta, A Fagiolini - IEEE access, 2022 - ieeexplore.ieee.org
This paper aims to develop a fractional control approach for quadrotor trajectory tracking. A
fractional-order integrator (PI) with a feedback derivative scheme is designed to control each …

Distributed coordinated control for fixed-wing UAVs with dynamic event-triggered communication

B Zhang, X Sun, M Lv, S Liu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Compared with most existing results concerning unmanned aerial vehicles (UAVs) wherein
two-degree or only attitude/longitudinal dynamics are considered, this paper proposes an …

Robust predictor-based control for multirotor UAV with various time delays

SM Lee, M Shin, H Son - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article presents a robust predictor-based sliding-mode control (RPSMC) for multirotor
unmanned aerial vehicles (UAVs) to ensure desired tracking control under time delays …

Finite-memory-structured online training algorithm for system identification of unmanned aerial vehicles with neural networks

HH Kang, DK Lee, CK Ahn - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose a novel finite-memory-structured online training algorithm (FiMos-
TA) for neural networks to identify and predict the unknown functions and states of an …

A novel movable UWB localization system using UAVs

S Moon, W Youn - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, interest in ultrawideband (UWB)-based localization systems has increased in
various application fields. However, since UWB anchors are usually fixed, they work only …

Design of LQR controller for 3D trajectory tracking of octocopter unmanned aerial vehicle

J Velagić, N Osmić, V Klovo… - 2022 8th International …, 2022 - ieeexplore.ieee.org
The paper deals with the mathematical modeling and control of an unmanned aerial vehicle
(UAV), called octocopter, based on a linear quadratic regulator (LQR). The complex …

Research on robot fuzzy neural network motion system based on artificial intelligence

J Hu - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
An intelligent controller based on a self‐learning interval type‐II fuzzy neural network is
proposed to make the motion controller of the industrial intelligent robot with good …