Machine learning-based quasi-optimal feedback control for a propellantless re-entry

Emanuela Gaglio, Riccardo Bevilacqua

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)274-284
Number of pages11
JournalActa Astronautica
Volume228
DOIs
StatePublished - Mar 2025
Externally publishedYes

ASJC Scopus Subject Areas

  • Aerospace Engineering

Keywords

  • Deep neural networks
  • Feedback control
  • Optimal control theory
  • Re-entry

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