@inproceedings{56c0c55e06814641a16339009eef8a24,
title = "Adaptive Neural Network Based on Finite-Time Attitude Control for Rigid Spacecraft during Orbit Maneuver",
abstract = "Spacecraft performance of attitude control is influenced by orbit control force during orbit maneuver, and exerts an impact on orbit control. To maintain the stability of the system, an adaptive neural network attitude controller based on finite-time for rigid spacecraft is designed where a neural network is utilized to approximate the general disturbances including the drift of mass center, thruster misalignment, and parameter uncertainties. The finite-time stability of the closed-loop system is demonstrated by finite-time Lyapunov stability theory. Then, the controller is applied to the rigid spacecraft with uncertainties. The results of simulation show the effectiveness of the proposed control law. Key Words: Rigid spacecraft, neural network, finite-time.",
keywords = "Finite-time control, Neural network, Rigid spacecraft",
author = "Xin He and Weikui Liang and Yanning Guo and Chuanjiang Li",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8483947",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "3096--3101",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "美国",
}