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Identificación de Sistemas No Lineales mediante Filtro de Kalman

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2000 Spain Publisher:CEA - Comité Español de Automática
Authors: Pérez, C.; Rodríguez Rubio, Francisco;

handle: 11441/105839

Identificación de Sistemas No Lineales mediante Filtro de Kalman

Abstract

Se presenta en este artículo una aplicaciónde filtro de Kalman para sistemas no lineales. El filtro de Kalman es aplicado en el formato extendido para la identificación de parámetros de un sistema dinámico.

Ministerio de Ciencia y Tecnología TAP-98-0541

XXI Jornadas de Automática. Año 2000. sevilla

Unión Europea 1FD97-0783

Country
Spain
Related Organizations
Keywords

Kalman, Identificación

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green