[article] 
inIndustrial & 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