Onboard generation of reentry trajectory for RLV via regularized extreme learning machine and marine predator whale optimizer-Reference-Cited by-同舟云学术

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Onboard generation of reentry trajectory for RLV via regularized extreme learning machine and marine predator whale optimizer

Published:2024-07 Issue: Volume: Page:
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Su Ya,Liu Yi^ORCID

Publisher

Elsevier BV

Reference51 articles.

1. Multidisciplinary design and optimization of winged architectures for reusable launch vehicles;Balesdent;Acta Astronaut.,2023

2. Direct trajectory optimization and costate estimation via an orthogonal collocation method;Benson;J. Guid. Control. Dyn.,2006

3. Survey of numerical methods for trajectory optimization;Betts;J. Guid. Control. Dyn.,1998

4. Betts, J.T., 2009. Practical methods for optimal control and estimation using nonlinear programming, 2nd. SIAM Press, Philadelphia.

5. Constraint-handling techniques within differential evolution for solving process engineering problems;Cantú;Appl. Soft Comput.,2021

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