activity
20232026
most citedA Physics-Informed Indirect Method for Trajectory Optimization

13 citations · 30 across the 10 of their papers we have counts for

collaborators
Showing 2024 · math.OCShow all

5 papers · 2 filters

math.OC2024

Nonlinear Optimal Guidance with Constraints on Impact Time and Impact Angle

Fanchen Wu, Zheng Chen, Xueming Shao +1

This paper aims to address the nonlinear optimal guidance problem with impact-time and impact-angle constraints, which is fundamentally important for multiple pursuers to collabora…

math.OC2024★ 12 cited

Fuel-optimal powered descent guidance for lunar pinpoint landing using neural networks

Kun Wang, Zheng Chen, Jun Li

This paper presents a Neural Networks (NNs) based approach for designing the Fuel-Optimal Powered Descent Guidance (FOPDG) for lunar pinpoint landing. According to Pontryagin's Min…

math.OC2024★ 3 cited

Fuel-Optimal Trajectory Planning for Lunar Vertical Landing

Kun Wang, Zheng Chen, Jun Li

In this paper, we consider a trajectory planning problem arising from a lunar vertical landing with minimum fuel consumption. The vertical landing requirement is written as a final…

math.OC2024★ 2 cited

Neural-Network-Based Optimal Guidance for Lunar Vertical Landing

Kun Wang, Zheng Chen, Fangmin Lu +1

This paper addresses an optimal guidance problem concerning the vertical landing of a lunar lander with the objective of minimizing fuel consumption. The vertical landing imposes a…

math.OC2024★ 13 cited

A Physics-Informed Indirect Method for Trajectory Optimization

Kun Wang, Fangmin Lu, Zheng Chen +1

This work presents a Physics-Informed Indirect Method (PIIM) that propagates the dynamics of both states and co-states backward in time for trajectory optimization problems. In the…