@inproceedings{35fa6f89fa1f4293b7b6e9b0d438d5d1,
title = "A novel dynamic neural network structure for nonlinear system identification",
abstract = "Dynamic neural networks are often used for nonlinear system identification. This paper presents a novel series-parallel dynamic neural network structure which is suitable for nonlinear system identification. A theoretical proof is given showing that this type of dynamic neural network is able to approximate finite trajectories of nonlinear dynamical systems. Also, this neural network is trained to identify a practical nonlinear 3D crane system.",
author = "Jiamei Deng and Becerra, {Victor M.} and Nasuto, {Slawomir J.}",
year = "2005",
doi = "10.3182/20050703-6-CZ-1902.01136",
language = "English",
isbn = "9783902661753",
series = "World congress",
publisher = "International Federation of Automatic Control (IFAC)",
number = "1",
pages = "1135",
booktitle = "Proceedings of the 16th IFAC World Congress, 2005",
}