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

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)
ISBN: 9781479958269
Uncontrolled Keywords: attitude control of spacecraft; propulsion force vector; radial basis function neural network; RBF NN
Subjects: FOR Classification > 0901 Aerospace Engineering
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 21 Aug 2016 23:56
Last Modified: 01 Jun 2018 09:52
URI: http://vuir.vu.edu.au/id/eprint/31326
DOI: https://doi.org/10.1109/WCICA.2014.7052887
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Citations in Scopus: 2 - View on Scopus

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