UAV platforms for data acquisition and intervention practices in forestry: towards more intelligent applications
H Sun, H Yan, M Hassanalian, J Zhang, A Abdelkefi - Aerospace, 2023 - mdpi.com
Unmanned air vehicle (UAV) systems for performing forestry applications have expanded in
recent decades and have great economic benefits. They are validated to be more appealing …
recent decades and have great economic benefits. They are validated to be more appealing …
[HTML][HTML] Advancements in UAV-Enabled Intelligent Transportation Systems: A Three-Layered Framework and Future Directions
Featured Application This paper addresses the practical application of unmanned aerial
vehicles (UAVs) in modern transportation systems, mainly focusing on how UAVs can be …
vehicles (UAVs) in modern transportation systems, mainly focusing on how UAVs can be …
Robust cascade observer for a disturbance unmanned aerial vehicle carrying a load under multiple time-varying delays and uncertainties
O Hernandez-Gonzalez, B Targui… - … Journal of Systems …, 2024 - Taylor & Francis
In this article, a novel approach of a robust flight observer for a disturbance quadrotor
transporting a payload in the presence of multiple time-varying delays is proposed. The …
transporting a payload in the presence of multiple time-varying delays is proposed. The …
[HTML][HTML] Improved A-STAR Algorithm for Power Line Inspection UAV Path Planning
Y Li, X Dong, Q Ding, Y Xiong, H Liao, T Wang - Energies, 2024 - mdpi.com
The operational areas for unmanned aerial vehicles (UAVs) used in power line inspection
are highly complex; thus, the best path planning under known obstacles is of significant …
are highly complex; thus, the best path planning under known obstacles is of significant …
Optimization-based trajectory tracking approach for multi-rotor aerial vehicles in unknown environments
The goal of this paper is to develop a continuous optimization-based refinement of the
reference trajectory to 'push it out'of the obstacle-occupied space in the global phase for …
reference trajectory to 'push it out'of the obstacle-occupied space in the global phase for …
Quadcopter UAVs extended states/disturbance observer-based nonlinear robust backstepping control
A trajectory tracking control for quadcopter unmanned aerial vehicle (UAV) based on a
nonlinear robust backstepping algorithm and extended state/disturbance observer (ESDO) …
nonlinear robust backstepping algorithm and extended state/disturbance observer (ESDO) …
[HTML][HTML] A Robust Adaptive PID-like Controller for Quadrotor Unmanned Aerial Vehicle Systems
This paper introduces a stable adaptive PID-like control scheme for quadrotor Unmanned
Aerial Vehicle (UAV) systems. The PID-like controller is designed to closely estimate an …
Aerial Vehicle (UAV) systems. The PID-like controller is designed to closely estimate an …
Nonlinear extended state observer based prescribed performance control for quadrotor UAV with attitude and input saturation constraints
In this paper, a prescribed performance control scheme of the quadrotor unmanned aerial
vehicle (UAV) under attitude and input saturation constraints is introduced. According to the …
vehicle (UAV) under attitude and input saturation constraints is introduced. According to the …
Real-time robust tracking control for a quadrotor using monocular vision
JR Montoya-Morales… - Proceedings of the …, 2023 - journals.sagepub.com
In this paper, the autonomous trajectory-tracking problem for an Unmanned Aerial Vehicle
(UAV) based on Sliding Mode Control (SMC) algorithms is treated. The control system is …
(UAV) based on Sliding Mode Control (SMC) algorithms is treated. The control system is …
[HTML][HTML] Evade Unknown Pursuer via Pursuit Strategy Identification and Model Reference Policy Adaptation (MRPA) Algorithm
Z Su, S Zheng, Z Xu, L Cheng, C Tao, R Qie, W Feng… - Drones, 2024 - mdpi.com
The game of pursuit–evasion has always been a popular research subject in the field of
Unmanned Aerial Vehicles (UAVs). Current evasion decision making based on …
Unmanned Aerial Vehicles (UAVs). Current evasion decision making based on …