Closed loop identification with youla parameterization and neural nets

Hanna Aboukheir, Kervin Rojas, Gabriel Villa, Pedro Romero

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

3 Citas (Scopus)

Resumen

System Identification has become the fundamental pillar of the industry of the 21 century, since allows the integration of advanced model based control strategies with complex process; for diverse reasons, real process are in closed loop due to difference reasons making virtually impossible obtain a model using open loop techniques, in this work an innovative strategy to identify plants in closed loop using an indirect method based on Youla Kucera Parameterization and Neural Nets is presented, stating 4 identifications subproblems with numerous potential applications on real problems..

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2006 American Control Conference
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1689-1694
Número de páginas6
ISBN (versión impresa)1424402107, 9781424402106
DOI
EstadoPublicada - 2006
Publicado de forma externa
Evento2006 American Control Conference - Minneapolis, MN, Estados Unidos
Duración: 14 jun. 200616 jun. 2006

Serie de la publicación

NombreProceedings of the American Control Conference
Volumen2006
ISSN (versión impresa)0743-1619

Conferencia

Conferencia2006 American Control Conference
País/TerritorioEstados Unidos
CiudadMinneapolis, MN
Período14/06/0616/06/06

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