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arXiv · 2403.00733

Remarks on "Successive Convexification: A Superlinearly Convergent Algorithm for Non-convex Optimal Control Problems"

Dayou Luo·Purnanand Elango·Behcet Acikmese
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Abstract

The purpose of this note is to highlight and address inaccuracies in the convergence guarantees of SCvx, a nonconvex trajectory optimization algorithm proposed by Mao et al. (arXiv:1804.06539), and make connections to relevant prior work. Specifically, we identify errors in the convergence proof within Mao et al. (arXiv:1804.06539) and reestablish the proof of convergence by employing a new method under stricter assumptions.

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Dayou Luo, Purnanand Elango, Behcet Acikmese. 2024-03-01. Remarks on "Successive Convexification: A Superlinearly Convergent Algorithm for Non-convex Optimal Control Problems". https://arxiv.org/abs/2403.00733

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