Fault-tolerant trajectory prediction using random forest methodology application to UAS-S4 Ehécatl

Hashemi, Seyed Mohammad, Botez, Ruxandra M. and Ghazi, Georges. 2024. « Fault-tolerant trajectory prediction using random forest methodology application to UAS-S4 Ehécatl ». In AIAA SciTech Forum and Exposition (Orlando, FL, USA, Jan. 08-12, 2024) Coll. « AIAA Paper », vol. AIAA 2024-0117. American Institute of Aeronautics and Astronautics Inc, AIAA.

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Item Type:	Conference proceeding
Professor:	Professor Botez, Ruxandra Ghazi, Georges
Affiliation:	Génie des systèmes, Génie des systèmes
Date Deposited:	10 May 2024 18:56
Last Modified:	10 May 2024 18:56
URI:	https://espace2.etsmtl.ca/id/eprint/28620

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