dc.creatorMoreno, M. Susana
dc.creatorLópez, Eduardo
dc.creatorDivins, Nuria J.
dc.creatorLlorca, Jordi
dc.date2014-09
dc.date2014
dc.date2014-10-22T12:05:40Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/41696
dc.identifierhttp://43jaiio.sadio.org.ar/proceedings/SIO/9.pdf
dc.identifierissn:1850-2865
dc.descriptionIn this work the application of genetic algorithms (GA) for solving the parameter estimation problem in a nonlinear empirical kinetic model for CO preferential oxidation is reported. Kinetic models with nonlinear rate equations often suffer of considerable parameter uncertainty which can lead to inaccurate predictions. Here, after the parameter vector is obtained, a statistical study is performed in order to show how accurate the parameter estimations are determined. The unknown model parameters are obtained by fitting the model predictions against our laboratory observations measured under a range of experimental conditions using a novel Au/TiO<SUB>2</SUB> catalyst.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.format13-24
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectCiencias Informáticas
dc.subjectAlgorithms
dc.subjectCO-PrOx
dc.subjectparameter estimation
dc.subjectconfidence intervals
dc.subjectconfidence regions
dc.titleParameter estimation of an empirical kinetic model for CO preferential oxidation
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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