14 citations · 15 across the 3 of their papers we have counts for
3 papers
math.OC2025
Newton-PIPG: A Fast Hybrid Algorithm for Quadratic Programs in Optimal Control
Dayou Luo, Yue Yu, Maryam Fazel +1
We propose Newton-PIPG, an efficient method for solving quadratic programming (QP) problems arising in optimal control, subject to additional set constraints. Newton-PIPG integrate…
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…