High order dynamic neuro observer: Application for ozone generator

Isaac Chairez, Alexander Poznyak, Tatyana Poznyak

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaIEEE 10th International Workshop on Variable Structure Systems, VSS'08
Páginas291-295
Número de páginas5
DOI
EstadoPublicada - 2008
EventoIEEE 10th International Workshop on Variable Structure Systems, VSS'08 - Antalya, Turquía
Duración: 8 jun. 200810 jun. 2008

Serie de la publicación

NombreIEEE 10th International Workshop on Variable Structure Systems, VSS'08

Conferencia

ConferenciaIEEE 10th International Workshop on Variable Structure Systems, VSS'08
País/TerritorioTurquía
CiudadAntalya
Período8/06/0810/06/08

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