High-efficiency reduced space sequential convex programming using low-complexity matrix inversion

In response to the increasing demand for real-time optimization in aerospace systems, reduced space sequential convex programming (rSCP) has been developed to improve the computational efficiency of conventional sequential convex programming by explicitly eliminating state variables and state equati...

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Veröffentlicht in:	Aerospace science and technology Jg. 159; S. 109958
Hauptverfasser:	Ma, Yangyang, Pan, Binfeng, Huang, Longxin, Chen, Qi, Xu, Zihui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Masson SAS 01.04.2025
Schlagworte:	Low-complexity matrix inversion Reduced space sequential convex programming Trajectory optimization Reduced space sequential convex programming Low-complexity matrix inversion Trajectory optimization
ISSN:	1270-9638
Online-Zugang:	Volltext
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