Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mahmut A. Yukselen"'
Publikováno v:
AIAA Scitech 2021 Forum.
In this paper, we present a brief review of the state of the art physics informed deep learning methodology and examine its applicability, limits, advantages, and disadvantages via several applications. The main advantage of this method is that it ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0376e3666b3d35ae80b750f014e5070b
https://doi.org/10.2514/6.2021-0177
https://doi.org/10.2514/6.2021-0177
In this paper, we present a deep learning based surrogate model to determine non-linear aerodynamic characteristics of UAVs. The main advantage of this model is that it can predict the aerodynamic properties of the configurations very quickly by usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa3a4390b349c623ae4e544467f74b0d
https://dspace.lib.cranfield.ac.uk/handle/1826/15239
https://dspace.lib.cranfield.ac.uk/handle/1826/15239
Publikováno v:
Journal of Intelligent & Robotic Systems. 84:83-105
This paper describes a complete six-degree-of-freedom nonlinear mathematical model of a tilt rotor unmanned aerial vehicle (UAV). The model is specifically tailored for the design of a hover to forward flight and forward flight to hover transition co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c7e2d5ef9b107c829f608fc13ff0091
https://doi.org/10.1007/s10846-015-0325-9
https://doi.org/10.1007/s10846-015-0325-9