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

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Huo, B, Xia, Y, Chai, S and Shi, Peng ORCID: 0000-0003-2668-7616 (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.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/31326
DOI https://doi.org/10.1109/WCICA.2014.7052887
Official URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
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
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