Estimating Wind Velocity with a Neural Network using Quadcopter Trajectories
Author:
Affiliation:
1. Oklahoma State University
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2019-1596
Reference21 articles.
1. Modeling Trajectory Performance of Quadrotors Under Wind Disturbances
2. Identification and control of dynamical systems using neural networks
3. Neural networks for nonlinear dynamic system modelling and identification
4. A procedure for training recurrent networks
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2. Learning to Navigate in Turbulent Flows With Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach;IEEE Robotics and Automation Letters;2023-07
3. Review on Wind Resistance for Quadrotor UAVs: Modeling and Controller Design;Unmanned Systems;2022-05-26
4. Hybrid model-based and data-driven wind velocity estimator for an autonomous robotic airship;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2020-02-19
5. Problems and Integrating Procedure of Quadcopter with Anemometer for Collect Wind Velocity Data;E3S Web of Conferences;2020
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