Artificial neural networks for low-thrust spacecraft control-Reference-Cited by-同舟云学术

Artificial neural networks for low-thrust spacecraft control

Published:2018 Issue:269 Volume: Page:1-31
ISSN:2071-2898
Container-title:Keldysh Institute Preprints
language:
Short-container-title:KIAM Prepr.

Author:

Sorokin Artemiy Vladimirovich,Shirobokov Maksim Gennadievich¹^ORCID

Affiliation:

1. Keldysh Institute of Applied Mathematics

Publisher

Keldysh Institute of Applied Mathematics

Subject

General Medicine

Reference21 articles.

1. KrishnaKumar K., Rickard S., Bartholomew S. Adaptive neuro-control for spacecraft attitude control // Neurocomputing. 1995. Vol. 9, no. 2. P. 131–148.

2. Artificial neural networks in Space Station optimal attitude control /R. R. Kumar, H. Seywald, S. M. Deshpande et al. // Acta Astronautica. 1995.Vol. 35, no. 2-3. P. 107–117.

3. Dachwald B. Optimization of very-low-thrust trajectories using evolutionary neurocontrol // Acta Astronautica. 2005. Vol. 57, no. 2-8. P. 175–185.

4. Carnelli I., Dachwald B., Vasile M. Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers // 2007 IEEE Congress on Evolutionary Computation / IEEE. 2007. P. 965–972.

5. Carnelli I., Dachwald B., Vasile M. Evolutionary neurocontrol: A novel method for low-thrust gravity-assist trajectory optimization // Journal of guidance, control, and dynamics. 2009. Vol. 32, no. 2. P. 616–625.

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