• English
    • Basque
    • español
  • English 
    • English
    • Basque
    • español
  • Login
Search 
  •   BIRD Home
  • Data Science (DS)
  • Machine Learning
  • Search
  •   BIRD Home
  • Data Science (DS)
  • Machine Learning
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filtros

Use filtros para refinar sus resultados.

Now showing items 1-2 of 2

  • Opciones de clasificación:
  • Relevancia
  • Título Asc
  • Título Desc
  • Fecha Asc
  • Fecha Desc
  • Resultados por página:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2019-09-18)
In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach , the Lambert problem is expanded towards a discretized ...
Thumbnail

Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2019-07-01)
In this paper, a direct approach is presented to tackle the multi-impulse rendezvous problem considering the impulse limit. Particularly, the standard Lambert problem is extended toward several consequential orbit transfers ...

DSpace software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback
 

 

Browse

All of BIRDCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Descubre

AuthorCeberio, J. (2)Lozano, J.A. (2)Shirazi, A. (2)Subject
Aerospace Engineering (2)
Evolutionary Algorithm (2)
Lambert Problem (2)
Optimization (2)
Space Rendezvous (2)Spacecraft (2)... másFecha2019 (2)

DSpace software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback