12 citations · 12 across the 5 of their papers we have counts for
5 papers
Pretrained Approximators for Low-Thrust Trajectory Cost and Reachability
Zhong Zhang, Giacomo Acciarini, Dario Izzo +2
Low-thrust trajectory design relies heavily on repeated evaluations of fuel consumption and transfer feasibility, which require expensive optimal control solutions. In this work, w…
Neural Approximators for Low-Thrust Trajectory Transfer Cost and Reachability
Zhong Zhang, Francesco Topputo
In trajectory design, fuel consumption and trajectory reachability are two key performance indicators for low-thrust missions. This paper proposes general-purpose pretrained neural…
Global Optimality in Multi-Flyby Asteroid Trajectory Optimization: Theory and Application Techniques
Zhong Zhang, Xiang Guo, Di Wu +3
Designing optimal trajectories for multi-flyby asteroid missions is scientifically critical but technically challenging due to nonlinear dynamics, intermediate constraints, and num…
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…
Autonomous Time-Optimal Many-Revolution Orbit Raising for Electric Propulsion GEO Satellites via Neural Networks
Haiyang Li, Francesco Topputo, Hexi Baoyin
Geostationary Earth orbit (GEO) satellites are of great significance in the space market. Low-thrust propulsion has been highly developed in the last decades because it is fuel-sav…