Identifying heteroclinic connections using artificial neural networks

被引：8
|
作者：
De Smet, Stijn [1 ]
Scheeres, Daniel J. [1 ]
机构：
[1] Univ Colorado, Dept Aerosp Engn, 429 UCB, Boulder, CO 80309 USA
来源：
ACTA ASTRONAUTICA | 2019年 / 161卷
关键词：
Heteroclinic connections; Artificial neural networks; Lyapunov; ALGORITHM;
D O I：
10.1016/j.actaastro.2019.05.012
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
This paper demonstrates the usage of artificial neural networks (ANN) to identify heteroclinic connections in astrodynamical systems. The ANN architecture is applied to find heteroclinic connections, or lack thereof, in the Earth-Moon circular restricted three body problem from L-1 to L-2 Lyapunov orbits for Jacobi values between 3.07 and 3.17. The predicted heteroclinic connections are within 0.1-1% of the arclength along the periodic orbit from their true locations.
引用
收藏
页码：192 / 199
页数：8
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