Modeling the quadrotor UAV maneuver and simulating its performance can effectively support airborne intelligent algorithms training such as mission planning and ...
scholar.google.com › citations
Constructing an accurate and gen- eralizable simulation model for quadcopter UAV is crucial to ensure the validity, credibility and robustness of simulation.
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks. Conference Paper. Full-text available. Jan 2006.
The proposed framework decomposes the overall MPC strategy into two distinct schemes for translational displacements and rotational movements, addressing ...
A novel hybrid network architecture is proposed, by combining deep recurrent neural networks with a quadrotor motion model created using classic system ...
Jul 24, 2020 · In this study, we propose a controller design that avoids the quadrotor's system identification procedures while staying robust with respect to ...
Dongao Zhou, Xinhai Xu Cascaded Learning Generation Framework for Quadrotor UAV Maneuvering Simulation Models.SMC 2023: 2359-2365; 2022. paper. [c1]. Unranked.
This work proposes the use of hybrid models of supervised neural networks for modeling of a dynamical complex system and analyze different training ...
In this article, a cascade fuzzy neural network (FNN) control approach is proposed for position control of quadrotor unmanned aerial vehicle (UAV) system.
Missing: Maneuvering | Show results with:Maneuvering
Oct 21, 2024 · This work demonstrates the great potential of differentiable simulation for learning quadrotor control.
Missing: UAV | Show results with:UAV