Documents disponibles écrits par cet auteur

Time – space decomposition - based generalized predictive control of a transport - reaction process / Ning Li in Industrial & engineering chemistry research, Vol. 50 N° 20 (Octobre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 20 (Octobre 2011) . - pp. 11628-11635 Titre : Time – space decomposition - based generalized predictive control of a transport - reaction process Type de document : texte imprimé Auteurs : Ning Li, Auteur ; Chen Hua, Auteur ; Haifeng Wang, Auteur Année de publication : 2011 Article en page(s) : pp. 11628-11635 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Transport  process  Predictive  control Résumé : This paper presents a generalized predictive control (GPC) strategy for a spatially distributed transport-reaction process based on time-space decomposition. First, the Karhunen-Loève (K-L) decomposition is used for time-space decomposition to find the principal spatial structures and to reduce the dimension of the data. Then, an autoregressive exogenous (ARX) model is identified using the excitation input signals and the temporal coefficients obtained by the K-L decomposition. A GPC strategy is investigated based on the ARX model, with or without considering the system constraints. Numerical simulations on a catalytic rod illustrate the effectiveness of the proposed methods. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24612388 [article] Time – space decomposition - based generalized predictive control of a transport - reaction process [texte imprimé] / Ning Li, Auteur ; Chen Hua, Auteur ; Haifeng Wang, Auteur . - 2011 . - pp. 11628-11635. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 20 (Octobre 2011) . - pp. 11628-11635 Mots-clés : Transport  process  Predictive  control Résumé : This paper presents a generalized predictive control (GPC) strategy for a spatially distributed transport-reaction process based on time-space decomposition. First, the Karhunen-Loève (K-L) decomposition is used for time-space decomposition to find the principal spatial structures and to reduce the dimension of the data. Then, an autoregressive exogenous (ARX) model is identified using the excitation input signals and the temporal coefficients obtained by the K-L decomposition. A GPC strategy is investigated based on the ARX model, with or without considering the system constraints. Numerical simulations on a catalytic rod illustrate the effectiveness of the proposed methods. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24612388