Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance
Z Zhao, J Wu, Z Liu, W He, CLP Chen - Science China Information …, 2024 - Springer
In this study, an adaptive neural network (NN) control is proposed for nonlinear two-degree-
of-freedom (2-DOF) helicopter systems considering the input constraints and global …
of-freedom (2-DOF) helicopter systems considering the input constraints and global …
3D smooth trajectory planning for UAVs under navigation relayed by multiple stations using Bezier curves
M Qi, L Dou, B Xin - Electronics, 2023 - mdpi.com
Navigation relayed by multiple stations (NRMS) is a promising technique that can
significantly extend the operational range of unmanned aerial vehicles (UAVs) and hence …
significantly extend the operational range of unmanned aerial vehicles (UAVs) and hence …
Two-Timescale Trajectory Planning and Resource Allocation in Air-Terrestrial Integrated Networks with CoMP
This paper focuses on leveraging coordinated multi-point (CoMP) to improve the sum
downlink rate in air-terrestrial integrated networks. Considering the CoMP transmission, the …
downlink rate in air-terrestrial integrated networks. Considering the CoMP transmission, the …
Cooperative mission planning based on game theory for UAVs and USVs heterogeneous system in dynamic scenario
H Long, H Duan - Aircraft Engineering and Aerospace Technology, 2024 - emerald.com
Purpose The purpose of this paper is to present and implement a task allocation method
based on game theory for reconnaissance mission planning of UAVs and USVs system …
based on game theory for reconnaissance mission planning of UAVs and USVs system …
Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning
X Zhou, J Xiong, H Zhao, X Liu, B Ren, X Zhang… - Science China …, 2024 - Springer
Unmanned aerial vehicles (UAVs) are recognized as effective means for delivering
emergency communication services when terrestrial infrastructures are unavailable. This …
emergency communication services when terrestrial infrastructures are unavailable. This …
Multi-agent reinforcement learning with action masking for uav-enabled mobile communications
D Rizvi, D Boyle - IEEE Transactions on Machine Learning in …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are increasingly used as aerial base stations to provide
ad hoc communications infrastructure. Building upon prior research efforts which consider …
ad hoc communications infrastructure. Building upon prior research efforts which consider …
Dynamic Channel Allocation Method for UAVs Based on Stackelberg Game in Interference Environment
S Zhang, G Chen, E Zhang… - 2024 4th International …, 2024 - ieeexplore.ieee.org
When unmanned aerial vehicles (UAV) operate in large-scale swarms, the simultaneous
access of numerous UAVs to the task area's frequency bands leads to increasingly …
access of numerous UAVs to the task area's frequency bands leads to increasingly …