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Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems

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Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems

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Lughofer, E.; Macian Martinez, V.; Guardiola García, C.; Klement, EP. (2011). Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems. Applied Soft Computing. 11(2):2487-2500. doi:10.1016/j.asoc.2010.10.004

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Title: Identifying static and dynamic prediction models for NOx emissions with evolving fuzzy systems
Author: Lughofer, Edwin Macian Martinez, Vicente Guardiola García, Carlos Klement, Erich Peter
UPV Unit: Universitat Politècnica de València. Instituto Universitario CMT-Motores Térmicos - Institut Universitari CMT-Motors Tèrmics
Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
Antipollution legislation in automotive internal combustion engines requires active control and prediction of pollutant formation and emissions. Predictive emission models are of great use in the system calibration phase, ...[+]
Subjects: Combustion engines , NOx emissions , analytical physical-oriented models , Takagi-Sugeno fuzzy systems , FLEXFIS , High-dimensional data , Steady-state and dynamic engine states
Copyrigths: Reserva de todos los derechos
Source:
Applied Soft Computing. (issn: 1568-4946 ) (eissn: 1872-9681 )
DOI: 10.1016/j.asoc.2010.10.004
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.asoc.2010.10.004
Project ID:
Upper Austrian Technology and Research Promotion
Thanks:
This work was supported by the Upper Austrian Technology and Research Promotion. This publication reflects only the author's view. Furthermore, we acknowledge PSA for providing the engine and partially supporting our ...[+]
Type: Artículo

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