@inproceedings{aa546ed3c7824e01b28f87dfabbf29b1,
title = "On-line nonlinear systems identification via dynamic neural networks with multi-time scales",
abstract = "In this paper, an new on-line identification algorithm with dead-zone function is proposed for nonlinear systems identification via dynamic neural networks with different time-scales including the aspects of fast and slow phenomenon. The main contribution of the paper is that the Lyapunov function and singularly perturbed techniques are used to develop the on-line update laws for both dynamic neural networks weights and the linear part parameters of the neural network model. On example is also given to demonstrate the effectiveness of the proposed identification algorithm.",
author = "Xuan Han and Xie, \{Wen Fang\} and Ren, \{Xue Mei\}",
year = "2010",
doi = "10.1109/CDC.2010.5717599",
language = "English",
isbn = "9781424477456",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4411--4416",
booktitle = "2010 49th IEEE Conference on Decision and Control, CDC 2010",
address = "United States",
note = "49th IEEE Conference on Decision and Control, CDC 2010 ; Conference date: 15-12-2010 Through 17-12-2010",
}