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Integral identification of continuous-time delay systems in the presence of unknown initial conditions and disturbances from step tests / Qing-Guo Wang in Industrial & engineering chemistry research, Vol. 47 n°14 (Juillet 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 n°14 (Juillet 2008) . - p. 4929–4936 Titre : Integral identification of continuous-time delay systems in the presence of unknown initial conditions and disturbances from step tests Type de document : texte imprimé Auteurs : Qing-Guo Wang, Auteur ; Liu, Min, Auteur ; Chang Chieh Hang, Auteur Année de publication : 2008 Article en page(s) : p. 4929–4936 Langues : Anglais (eng) Mots-clés : Continuous-time  delay  systems  --  integral  identification  method;  Static  disturbance Résumé : In this paper, an integral identification method is proposed for continuous-time delay systems in presence of both unknown initial conditions and static disturbances from a step test. The integration limits are specifically chosen to make the resulting integral equation independent of the unknown initial conditions. This enables identification of the process model from a step test by one-stage least-squares algorithm without any iteration. The proposed identification method is demonstrated through numerical simulation and real time testing. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071532s [article] Integral identification of continuous-time delay systems in the presence of unknown initial conditions and disturbances from step tests [texte imprimé] / Qing-Guo Wang, Auteur ; Liu, Min, Auteur ; Chang Chieh Hang, Auteur . - 2008 . - p. 4929–4936. Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°14 (Juillet 2008) . - p. 4929–4936 Mots-clés : Continuous-time  delay  systems  --  integral  identification  method;  Static  disturbance Résumé : In this paper, an integral identification method is proposed for continuous-time delay systems in presence of both unknown initial conditions and static disturbances from a step test. The integration limits are specifically chosen to make the resulting integral equation independent of the unknown initial conditions. This enables identification of the process model from a step test by one-stage least-squares algorithm without any iteration. The proposed identification method is demonstrated through numerical simulation and real time testing. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071532s