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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Vydané v:	Aerospace science and technology Ročník 159; s. 109958
Hlavní autori:	Ma, Yangyang, Pan, Binfeng, Huang, Longxin, Chen, Qi, Xu, Zihui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Masson SAS 01.04.2025
Predmet:	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
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