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Modelling, control, and stability analysis of non-linear systems using generalized fuzzy neural networks

โœ Scribed by Gao, Yang; Er, Meng Joo

Book ID
120207227
Publisher
Taylor and Francis Group
Year
2003
Tongue
English
Weight
297 KB
Volume
34
Category
Article
ISSN
0020-7721

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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