@inproceedings{2746c15b77e8430b967c86fb57339f02,
title = "Steering law design for single Gimbal control moment gyroscopes based on RBF neural networks",
abstract = "Usually, the pseudo-inverse of the Jacobian matrix needs to be calculated in the conventional laws for the Single Gimbal Control Moment Gyroscopes (SGCMGs). However, the steering law can not work when the Jacobian matrix is singular and its pseudo-inverse is indefinite. To avoid the conditions stated above, a new steering law is designed using radial basis function(RBF) neural networks. This algorithm can output the desired gimbal angles directly according to the momentum command. And also, this algorithm can deal with the singular conditions since the pseudo-inverse of the Jacobian matrix is not needed. Simulation results demonstrate the effectiveness of the steering law.",
author = "Zhong Wu and Wusheng Chou and Kongming Wei",
year = "2006",
doi = "10.1007/11801603\_158",
language = "英语",
isbn = "3540366679",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1186--1190",
booktitle = "PRICAI 2006",
address = "德国",
note = "9th Pacific Rim International Conference on Artificial Intelligence ; Conference date: 07-08-2006 Through 11-08-2006",
}