Skip to main navigation Skip to search Skip to main content

Cislunar satellite motion prediction via hybrid parametric and deep learning models

  • Space Science and Space Technology Scuola Superiore Meridionale
  • Embry-Riddle Aeronautical University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)381-394
Number of pages14
JournalActa Astronautica
Volume237
DOIs
StatePublished - Dec 2025
Externally publishedYes

ASJC Scopus Subject Areas

  • Aerospace Engineering

Keywords

  • Cislunar space
  • Deep learning
  • Parametric curves
  • Stability assessment
  • Trajectory prediction

Cite this