Online guidance updates using neural networks

Filici, Cristian et al · RI ITBA · 2022

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Author / responsible party

Filici, Cristian et al

Publisher

RI ITBA

Year

2022

ISSN

0094-5765

ISSN

0094-5765

Language

English

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"The aim of this article is to present a method for the online guidance update for a launcher ascent trajectory that is based on the utilization of a neural network approximator. Generation of training patterns and selection of the input and output spaces of the neural network are presented, and implementation issues are discussed. The method is illustrated by a 2-dimensional launcher simulation."

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APA 7

Filici, C. E. A. (2022). Online guidance updates using neural networks. http://ri.itba.edu.ar/handle/20.500.14769/3816

MLA

Filici, Cristian et al. "Online guidance updates using neural networks." 2022. http://ri.itba.edu.ar/handle/20.500.14769/3816.

Chicago

Filici, Cristian et al. 2022. "Online guidance updates using neural networks.". http://ri.itba.edu.ar/handle/20.500.14769/3816.

Harvard

Filici, C. E. A. 2022, Online guidance updates using neural networks, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/3816 [Accessed 6 Aug. 2026].

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Title: Online guidance updates using neural networks

Author / contributors: Filici, Cristian et al

Publisher: RI ITBA

Publication year: 2022

ISSN: 0094-5765

ISSN: 0094-5765

Language: English

Subjects

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REDES NEURONALES; OPTIMIZACION DE TRAYECTORIA; VEHICULO DE LANZAMIENTO