Development of reinforced learning based non-linear controller for unmanned aerial vehicle
AFU Din, I Mir, F Gul, S Akhtar - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Design complexities of trending UAVs and the operational harsh environments
necessitates Control Law formulation utilizing intelligent techniques that are both robust …
necessitates Control Law formulation utilizing intelligent techniques that are both robust …
A multi-agent collaborative environment learning method for UAV deployment and resource allocation
Z Dai, Y Zhang, W Zhang, X Luo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The dynamic position deployment and resource allocation of the unmanned aerial vehicle
(UAV) communication networks has great significance in terms of interference management …
(UAV) communication networks has great significance in terms of interference management …
Machine learning techniques in internet of UAVs for smart cities applications
FA Alqurashi, F Alsolami… - Journal of Intelligent …, 2022 - content.iospress.com
Recently, there were much interest in technology which has emerged greatly to the
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …
development of smart unmanned systems. Internet of UAV (IoUAV) enables an unmanned …
Deep Reinforcement Learning for integrated non-linear control of autonomous UAVs
In this research, an intelligent control architecture for an experimental Unmanned Aerial
Vehicle (UAV) bearing unconventional inverted V-tail design, is presented. To handle UAV's …
Vehicle (UAV) bearing unconventional inverted V-tail design, is presented. To handle UAV's …
Deep-reinforcement-learning-based drone base station deployment for wireless communication services
GB Tarekegn, RT Juang, HP Lin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Over the last few years, drone base station (DBS) technology has been recognized as a
promising solution to the problem of network design for wireless communication systems …
promising solution to the problem of network design for wireless communication systems …
Channel estimation for UAV communication systems using deep neural networks
Channel modeling of unmanned aerial vehicles (UAVs) from wireless communications has
gained great interest for rapid deployment in wireless communication. The UAV channel has …
gained great interest for rapid deployment in wireless communication. The UAV channel has …
Situation-aware deep reinforcement learning for autonomous nonlinear mobility control in cyber-physical loitering munition systems
According to the rapid development of drone technologies, drones are widely used in many
applications including military domains. In this paper, a novel situation-aware DRL-based …
applications including military domains. In this paper, a novel situation-aware DRL-based …
Time-Efficient Joint UAV-BS Deployment and User Association Based on Machine Learning
In this article, a time-efficient mechanism is proposed to solve the joint unmanned aerial
vehicle (UAV) base station deployment and user/sensor association (UDUA) problem …
vehicle (UAV) base station deployment and user/sensor association (UDUA) problem …
Fuzzy deep deterministic policy gradient-based motion controller for humanoid robot
PH Kuo, J Hu, ST Lin, PW Hsu - International Journal of Fuzzy Systems, 2022 - Springer
In conventional robot arm control, inverse kinematics (IK) is used as the basis for computing
arm joint angles. However, IK can be used to compute joint angles only after the terminal …
arm joint angles. However, IK can be used to compute joint angles only after the terminal …
Non-linear intelligent control design for unconventional unmanned aerial vehicle
View Video Presentation: https://doi. org/10.2514/6.2023-1071. vid Design complexities of
trending UAVs and the operational harsh environments necessitates Control Law …
trending UAVs and the operational harsh environments necessitates Control Law …