@inproceedings{caf9d739609c4aba91791ad62c63eaee,
title = "High order dynamic neuro observer: Application for ozone generator",
abstract = "In this study the adaptive observing problem for nonlinear uncertain systems is analyzed. The considered nonlinear systems verify the so-called regular form. A new high-order sliding mode neural-observer is suggested to solve the aforementioned problem by means of the super-twisting algorithm. This observer is supplied with a new learning procedure which adaptive structure ensuring the practical stability for estimation scheme. The suggested approach was successfully applied for the state estimation of the corone discharge ozone generator.",
keywords = "Dynamic neural network, Estimation, Observer, Sliding mode control",
author = "Isaac Chairez and Alexander Poznyak and Tatyana Poznyak",
year = "2008",
doi = "10.1109/VSS.2008.4570723",
language = "Ingl{\'e}s",
isbn = "9781424422005",
series = "IEEE 10th International Workshop on Variable Structure Systems, VSS'08",
pages = "291--295",
booktitle = "IEEE 10th International Workshop on Variable Structure Systems, VSS'08",
note = "IEEE 10th International Workshop on Variable Structure Systems, VSS'08 ; Conference date: 08-06-2008 Through 10-06-2008",
}