Convex programming approach to powered descent guidance for mars landing
By Behçet Açikmese, Scott R. Ploen. 2007
710 citations recorded by the source corpus.
Subfields: Aerospace Engineering
View Paper: https://www.semanticscholar.org/paper/829fbe148ed5d831c7ea7d00b7bbfe119f973e89
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In Aerospace Engineering
- Xinfu Liu
- Ping Lu
- Stephen P. Boyd
- Zuo-jun Shen
- Binfeng Pan
- Lars Blackmore
- Daniel P. Scharf
- Alexander Domahidi
Citations in the corpus
- ECOS: An SOCP solver for embedded systems (2013, background): “6-8] for some potential applications of SOCPs; a recent example for real-time SOCP is minimum-fuel powered descent for landing spacecraft [10].”
- Solving Nonconvex Optimal Control Problems by Convex Optimization (2014, methodology): “In the last few years, however, a practical and well-formulated planetary soft-landing problem has been cast into a convex problem by a novel lossless convexification method to overcome nonconvex control constraints and successfully solved by a primal-dual interior-point algorithm [7–10].”
- Minimum-Landing-Error Powered-Descent Guidance for Mars Landing Using Convex Optimization (2010, methodology): “The 2009 Mars Science Laboratory mission aims to achieve a landing ellipse of around 10 km [3].”
- Entry Trajectory Optimization by Second-Order Cone Programming (2016, background): “[1–5], and relaxation methodology for the problem of spacecraft rendezvous and proximity operations in Refs.”
- Survey of convex optimization for aerospace applications (2017, background): “Nevertheless, it can be relaxed into the following convex control constraints [10]:”
- Autonomous Trajectory Planning for Rendezvous and Proximity Operations by Conic Optimization (2012, methodology): “(54) [11].”