Work

Input-Saturated Station Keeping for Celestial Body Orbits Using Iterative Learning Control

Year: 2024

Type: article

Source: IEEE Transactions on Aerospace and Electronic Systems

DOI: 10.1109/taes.2024.3524197

Authors: Hao Guo, Jiateng Long, Roberto Armellin, Shengying Zhu, Rui Xu

Institutions: Beijing Institute of Technology, University of Auckland

Language: English

Topic: Spacecraft Dynamics and Control

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: China Association for Science and Technology, National Natural Science Foundation of China

Award: G1880801212

OpenAlex ID: W4405907277

FWCI: 0.356

Cites: 34

Cited by: 2

Related to: 10