A Computationally Inexpensive Optimal Guidance via Radial-Basis-Function Neural Network for Autonomous Soft Landing on Asteroids

Optimal guidance is essential for the soft landing task. However, due to its high computational complexities, it is hardly applied to the autonomous guidance. In this paper, a computationally inexpensive optimal guidance algorithm based on the radial basis function neural network (RBFNN) is proposed...

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Detalles Bibliográficos
Autores principales: Zhang, Peng, Liu, Keping, Zhao, Bo, Li, Yuanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569059/
https://www.ncbi.nlm.nih.gov/pubmed/26367382
http://dx.doi.org/10.1371/journal.pone.0137792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569059/
https://www.ncbi.nlm.nih.gov/pubmed/26367382
http://dx.doi.org/10.1371/journal.pone.0137792

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