Online model‐free reinforcement learning for the automatic control of a flexible wing aircraft-Reference-Cited by-同舟云学术

Online model‐free reinforcement learning for the automatic control of a flexible wing aircraft

Published:2020-01 Issue:1 Volume:14 Page:73-84
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Abouheaf Mohammed¹²,Gueaieb Wail¹^ORCID,Lewis Frank³

Affiliation:

1. School of Electrical Engineering and Computer Science, University of OttawaOttawaOntarioCanada

2. Electrical Engineering, College of Energy Engineering, Aswan UniversityAswanEgypt

3. Electrical Engineering, University of Texas at ArlingtonArlingtonTexasUSA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.6163

Reference39 articles.

1. Modelling the flight dynamics of the hang glider;Cook M.V.;Aeronaut. J.,2005

2. KilkennyE.A.: ‘An experimental study of the longitudinal aerodynamic and static stability characteristics of hang gliders’. PhD thesis Cranfield University 1986

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