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A computationally efficient Kalman filter based estimator for updating look-up tables applied to NOx estimation in diesel engines

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A computationally efficient Kalman filter based estimator for updating look-up tables applied to NOx estimation in diesel engines

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Guardiola, C.; Pla Moreno, B.; Blanco-Rodriguez, D.; Eriksson, L. (2013). A computationally efficient Kalman filter based estimator for updating look-up tables applied to NOx estimation in diesel engines. Control Engineering Practice. 21(11):1455-1468. doi:10.1016/j.conengprac.2013.06.015

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/40391

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Title: A computationally efficient Kalman filter based estimator for updating look-up tables applied to NOx estimation in diesel engines
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
No-x estimation in diesel engines is an up-to-date problem but still some issues need to be solved. Raw sensor signals are not fast enough for real-time use while control-oriented models suffer from drift and aging. A ...[+]
Subjects: NOx , Kalman filter , Adaptive model , Look-up tables , Diesel
Copyrigths: Reserva de todos los derechos
Source:
Control Engineering Practice. (issn: 0967-0661 )
DOI: 10.1016/j.conengprac.2013.06.015
Publisher:
International Federation of Automatic Control (IFAC)
Publisher version: http://dx.doi.org/10.1016/j.conengprac.2013.06.015
Type: Artículo

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