Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning

Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning

Attitude control of a novel regional truss-braced wing (TBW) aircraft with low stability characteristics is addressed in this paper using Reinforcement Learning (RL). In recent years, RL has been increasingly employed in challenging applications, particularly, autonomous flight control. However, a s...

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Bibliographic Details
Main Authors:	Mohsen Zahmatkesh, Seyyed Ali Emami, Afshin Banazadeh, Paolo Castaldi
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Actuators
Subjects:	reinforcement learning q-learning fuzzy q-learning attitude control truss-braced wing flight control
Online Access:	https://www.mdpi.com/2076-0825/11/12/374

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