Adaptive Fault-Tolerant Control of Rigid Body Using RBF Neural Networks

Full text for this resource is not available from the Research Repository.

Huo, Baoyu, Xia, Yuanqing, Chai, Senchun and Shi, Peng ORCID: 0000-0003-2668-7616 (external link) (2015) Adaptive Fault-Tolerant Control of Rigid Body Using RBF Neural Networks. In: 2014 11th World Congress on Intelligent Control and Automation (WCICA), 29 June 2014-04 July 2014, Shenyang.

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/31326
DOI 10.1109/WCICA.2014.7052887 (external link)
Official URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... (external link)
ISBN 9781479958269
Subjects Historical > FOR Classification > 0901 Aerospace Engineering
Current > Division/Research > College of Science and Engineering
Keywords attitude control of spacecraft; propulsion force vector; radial basis function neural network; RBF NN
Citations in Scopus 4 - View on Scopus (external link)
Download/View statistics View download statistics for this item

Search Google Scholar (external link)

Repository staff login