Artificial neural networks for PIO events classification comparing different data collection procedures-Reference-Cited by-同舟云学术

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Artificial neural networks for PIO events classification comparing different data collection procedures

Published:2024-07-11 Issue:8 Volume:46 Page:
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Bruschi Adriano Ghigiarelli,Drewiacki Daniel,Bidinotto Jorge Henrique^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40430-024-05070-y.pdf

Reference25 articles.

1. Celere AL 2008 “Método para Avaliação do Ganho Empregado Pelo Piloto para Ensaios de PIO” (in Portuguese) Ph.D. Dissertation, São Carlos School of Engineering. University of São Paulo, São Carlos

2. Mitchell DG, Hoh RH, 1999. “Development of methods and devices to predict and prevent Pilot-Induced Oscillations.”, Hoh Aeronautics Inc.

3. Anderson MR (1998) Pilot-induced oscillations involving multiple nonlinearities. J Guid Control Dyn 21(5):786–792. https://doi.org/10.2514/2.4307

4. Bidinotto JH, Almeida SP (2021) “A historical review of pilot induced oscillation (PIO) Occurrence”, 26th International Congress of Mechanical Engineering, COBEM. Virtual Congress. https://doi.org/10.26678/ABCM.COBEM2021.COB2021-0307

5. Hess RA, Kalteis RM (1991) Technique for predicting longitudinal pilot-induced oscillations. J Guid Control Dyn 14(1):198–204. https://doi.org/10.2514/3.20622

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