@inproceedings{8d9710947de64845b0e378350a90b9c1,
title = "Water treatment by ozonation: Contaminants concentration estimation by dynamical neural network",
abstract = "A real data set from model mixtures water treatment is considered to be analyzed trough this observer based on dynamical neural networks and sliding mode-like design. The residual sign term is suggested to be used to reduce the output external noise effect in the estimation process and the dynamic neural network is employed to reconstruct the state dynamics of the system under this study.",
keywords = "Dynamic neural network, Environmental systems, Observer, Ozonation process, Sliding mode observer",
author = "Isaac Chairez and Alexander Poznyak and Tatyana Poznyak",
year = "2005",
doi = "10.3182/20050703-6-cz-1902.02203",
language = "Ingl{\'e}s",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
pages = "191--196",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
address = "Austria",
}