Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning

Autor:	Wuxing Jing, Kefan Wang, Xiaoqi Qiu, Changsheng Gao
Rok vydání:	2022
Předmět:	Attitude control Artificial neural network Computer science Mechanical Engineering Airframe Aerospace Engineering Reinforcement learning General Materials Science Aerodynamics Automotive engineering Civil and Structural Engineering
Zdroj:	Journal of Aerospace Engineering. 35
ISSN:	1943-5525 0893-1321
DOI:	10.1061/(asce)as.1943-5525.0001381
Popis:	A moving mass–actuated unmanned aerial vehicle (MAUAV) is controlled by mass sliders installed inside the airframe and has the advantages of high aerodynamic efficiency and good stealth per...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::da917c8df3dcd886940208962844e378 https://doi.org/10.1061/(asce)as.1943-5525.0001381 Zobrazit plný text záznamu