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CEAS EuroGNC 2026

Recovering Classical Rendezvous Strategies using MPC for Constrained Closed-Loop Guidance
Diogo Silva PhD Candidate, NOVA School of Science and Technology (NOVA-FCT), 2829-516 Caparica, Portugal. Center of Technology and Systems and LASI (UNINOVA-CTS). Doctoral Researcher, Institute for Systems and Robotics (ISR-Lisbon), Instituto Superior Técnico (IST), 1049-001 Lisbon, Portugal.
Pedro Lourenço Section Head Advanced Guidance & Control, GMV Innovating Solutions, Lisbon, Portugal.
Daniel Silvestre Assistant Professor, NOVA School of Science and Technology (NOVA-FCT), Department of Electrical and Computer Engineering, 2829-516 Caparica, Portugal. Researcher, UNINOVA - CTS and LASI, Caparica, Portugal. Researcher, Institute for Systems and Robotics Instituto Superior Técnico Universidade de Lisboa, Lisboa, Portugal.
José F. Briz GNC Engineer, GMV Innovating Solutions, Madrid, Spain.
Abstract:
Keywords: Model Predictive Control; Autonomous Rendezvous; Guidance Navigation and Control; Constrained Control
 View PDF CEAS-GNC-2026-048 doi: 10.82124/CEAS-GNC-2026-048


Diogo Silva, Pedro Lourenço, Daniel Silvestre, José F. Briz: Recovering Classical Rendezvous Strategies using MPC for Constrained Closed-Loop Guidance. Proceedings of the 2026 CEAS EuroGNC conference. Madrid, Spain. May 2026. doi: 10.82124/CEAS-GNC-2026-048.
BibTeX entry (UTF-8):

@Incollection{CEAS-GNC-2026-048,
    author = {Silva, Diogo and Lourenço, Pedro and Silvestre, Daniel and Briz, José F.},
    title = {Recovering Classical Rendezvous Strategies using MPC for Constrained Closed-Loop Guidance},
    booktitle = {Proceedings of the 2026 {CEAS EuroGNC} conference},
    address = {Madrid, Spain},
    month = may,
    year = {2026},
    doi = {10.82124/CEAS-GNC-2026-048}
}