Morphing aircraft acceleration and deceleration task morphing strategy using a reinforcement learning method
Author:
Funder
National Natural Science Foundation of China
Aeronautical Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04876-y.pdf
Reference29 articles.
1. Tsushima N, Tamayama M (2019) Recent researches on morphing aircraft technologies in Japan and other countries. Mech Eng Rev 6(2):19–00197–19–00197. https://doi.org/10.1299/mer.19-00197
2. Kölbl M, Ermanni P (2022) Structural design and analysis of an anisotropic, bi-axially morphing skin concept. Aerosp Sci Technol 120. https://doi.org/10.1016/j.ast.2021.107292
3. Hao F, Tang T, Gao Y, Li Y, Yi S, Lu J (2021) Continuous morphing trailing-edge wing concept based on multi-stable nanomaterial. Chin J Aeronaut 34(7):219–231. https://doi.org/10.1016/j.cja.2020.03.041
4. Kammegne MJT, Botez RM, Grigorie LT, Mamou M, Mébarki Y (2017) Proportional fuzzy feed-forward architecture control validation by wind tunnel tests of a morphing wing. Chin J Aeronaut 30(2):561–576. https://doi.org/10.1016/j.cja.2017.02.001
5. Xu W, Li Y, Pei B, Yu Z (2022) Coordinated intelligent control of the flight control system and shape change of variable sweep morphing aircraft based on dueling-DQN. Aerosp Sci Technol 130. https://doi.org/10.1016/j.ast.2022.107898
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