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Modelling and control PEMFC using fuzzy neural networks

โœ Scribed by Sun Tao; Yan Si-jia; Cao Guang-yi; Zhu Xin-jian

Publisher
SP Zhejiang University Press
Year
2005
Tongue
English
Weight
486 KB
Volume
6
Category
Article
ISSN
1009-3095

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Neural networks can only be trained with a crisp and finite data set. Therefore, the approximation quality of a trained network is hard to verify. So, a common way in proving stability of a trained neural net controller is to demonstrate the existence of a Lyapunov function. In this article we propo