High order dynamic neuro observer: Application for ozone generator

Isaac Chairez, Alexander Poznyak, Tatyana Poznyak

    Research output: Contribution to conferencePaper

    6 Scopus citations

    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. ©2008 IEEE.
    Original languageAmerican English
    Pages291-295
    Number of pages261
    DOIs
    StatePublished - 25 Sep 2008
    EventIEEE 10th International Workshop on Variable Structure Systems, VSS'08 -
    Duration: 25 Sep 2008 → …

    Conference

    ConferenceIEEE 10th International Workshop on Variable Structure Systems, VSS'08
    Period25/09/08 → …

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    Cite this

    Chairez, I., Poznyak, A., & Poznyak, T. (2008). High order dynamic neuro observer: Application for ozone generator. 291-295. Paper presented at IEEE 10th International Workshop on Variable Structure Systems, VSS'08, . https://doi.org/10.1109/VSS.2008.4570723