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20202026
most citedSuccessive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction

14 citations · 42 across the 22 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

math.OC2024

Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance

Skye Mceowen, Daniel J. Calderone, Aman Tiwary +4

This paper presents auto-tuned primal-dual successive convexification (Auto-SCvx), an algorithm designed to reliably achieve dynamically-feasible trajectory solutions for constrain…

math.OC2024★ 4 cited

Optimization with Temporal and Logical Specifications via Generalized Mean-based Smooth Robustness Measures

Samet Uzun, Purnanand Elango, Pierre-Loic Garoche +1

This paper introduces a generalized mean-based C^1-smooth robustness measure over discrete-time signals (D-GMSR) for signal temporal logic (STL) specifications. In conjunction with…

math.OC2024

Fast Monte Carlo Analysis for 6-DoF Powered-Descent Guidance via GPU-Accelerated Sequential Convex Programming

Govind M. Chari, Abhinav G. Kamath, Purnanand Elango +1

We introduce a GPU-accelerated Monte Carlo framework for nonconvex, free-final-time trajectory optimization problems. This framework makes use of the prox-linear method, which belo…

math.OC2024

Successive Convexification for Nonlinear Model Predictive Control with Continuous-Time Constraint Satisfaction

Samet Uzun, Purnanand Elango, Abhinav G. Kamath +2

We propose a nonlinear model predictive control (NMPC) framework based on a direct optimal control method that ensures continuous-time constraint satisfaction and accurate evaluati…

math.OC2024★ 14 cited

Successive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction

Purnanand Elango, Dayou Luo, Abhinav G. Kamath +3

We present successive convexification, a real-time-capable solution method for nonconvex trajectory optimization, with continuous-time constraint satisfaction and guaranteed conver…

math.OC2024★ 1 cited

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

Dayou Luo, Purnanand Elango, Behcet Acikmese

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…