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Détail de l'auteur
Auteur Benoît Chachuat
Documents disponibles écrits par cet auteur
Affiner la rechercheIncremental global parameter estimation in dynamical systems / Michalik, Claas in Industrial & engineering chemistry research, Vol. 48 N° 11 (Juin 2009)
[article]
in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5489–5497
Titre : Incremental global parameter estimation in dynamical systems Type de document : texte imprimé Auteurs : Michalik, Claas, Auteur ; Benoît Chachuat, Auteur ; Marquardt, Wolfgang, Auteur Année de publication : 2009 Article en page(s) : pp. 5489–5497 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Dynamical system Efficient computational method Software packages Incremental identification Résumé : Estimating the parameters of a dynamical system based on measurements is an important task in industrial and scientific practice. Since a model’s quality is directly linked to its parameter values, obtaining globally rather than locally optimal values is especially important in this context. In practice, however, local methods are used almost exclusively. This is mainly due to the high computational cost of global dynamic parameter estimation, which limits its application to relatively small problems comprising no more than a few equations and parameters. In addition, there is still a lack of software packages that allow global parameter estimation in dynamical systems without expert knowledge. Therefore, we propose an efficient computational method for obtaining globally optimal parameter estimates of dynamical systems using well-established, user-friendly software packages. The method is based on the so-called incremental identification procedure, in combination with deterministic global optimization tools for nonlinear programs. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8015472 [article] Incremental global parameter estimation in dynamical systems [texte imprimé] / Michalik, Claas, Auteur ; Benoît Chachuat, Auteur ; Marquardt, Wolfgang, Auteur . - 2009 . - pp. 5489–5497.
Chemical engineering
Langues : Anglais (eng)
in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5489–5497
Mots-clés : Dynamical system Efficient computational method Software packages Incremental identification Résumé : Estimating the parameters of a dynamical system based on measurements is an important task in industrial and scientific practice. Since a model’s quality is directly linked to its parameter values, obtaining globally rather than locally optimal values is especially important in this context. In practice, however, local methods are used almost exclusively. This is mainly due to the high computational cost of global dynamic parameter estimation, which limits its application to relatively small problems comprising no more than a few equations and parameters. In addition, there is still a lack of software packages that allow global parameter estimation in dynamical systems without expert knowledge. Therefore, we propose an efficient computational method for obtaining globally optimal parameter estimates of dynamical systems using well-established, user-friendly software packages. The method is based on the so-called incremental identification procedure, in combination with deterministic global optimization tools for nonlinear programs. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8015472