5 papers
Parallel-in-Time Nonlinear Optimal Control via GPU-native Sequential Convex Programming
Yilin Zou, Zhong Zhang, Maxime Robic +1
Real-time solution of nonlinear optimal control problems remains challenging on embedded robotic hardware, where conventional solvers often rely on global sparse linear algebra or…
Optimal Control and Neural Porkchop Analysis for Low-Thrust Asteroid Rendezvous Mission
Zhong Zhang, Niccolò Michelotti, Gonçalo Oliveira Pinho +2
This paper presents a comparative study of the applicability and accuracy of optimal control methods and neural network-based estimators in the context of porkchop plots for prelim…
Re-examining the Legendre-Gauss-Lobatto Pseudospectral Methods for Optimal Control
Yilin Zou, Fanghua Jiang
Pseudospectral methods represent an efficient approach for solving optimal control problems. While Legendre-Gauss-Lobatto (LGL) collocation points have traditionally been considere…
Multi-Revolution Low-Thrust Trajectory Optimization With Very Sparse Mesh Pseudospectral Method
Yilin Zou, Fanghua Jiang
Multi-revolution low-thrust trajectory optimization problems are important and challenging in space mission design. In this paper, an efficient, accurate, and widely applicable pse…
Vectorized Sparse Second-Order Forward Automatic Differentiation for Optimal Control Direct Methods
Yilin Zou, Fanghua Jiang
Direct collocation methods are widely used numerical techniques for solving optimal control problems. The discretization of continuous-time optimal control problems transforms them…