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Embedded interval type - 2 T - S fuzzy time / space separation modeling approach for nonlinear distributed parameter system / Mengling Wang in Industrial & engineering chemistry research, Vol. 50 N° 24 (Décembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 24 (Décembre 2011) . - pp. 13954–13961 Titre : Embedded interval type - 2 T - S fuzzy time / space separation modeling approach for nonlinear distributed parameter system Type de document : texte imprimé Auteurs : Mengling Wang, Auteur ; Ning Li, Auteur ; Shaoyuan Li, Auteur Année de publication : 2012 Article en page(s) : pp. 13954–13961 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Distributed  parameter  system  Modeling Résumé : Challenging modeling problems include how to obtain a simple and accurate model for a partial differential equation (PDE) unknown nonlinear distributed parameter system (DPS). In this paper, a time/space separation modeling approach based on the interval type-2 T-S fuzzy model (IT2 T-S model) is proposed for nonlinear DPS. First, the spatial-temporal output is divided into a few dominant spatial basis functions and low-dimensional time series by a linear time/space separation method. Second, the interval type-2 T-S fuzzy model is determined from the low-dimensional time series to reconstruct the system dynamics through the spatial basis functions. As the IT2 T-S model employs an interval linear model in the consequent part, the relationship between the input and spatial output can be determined by linear expressions through type reduction and linear time/space reconstruction. Thus, the obtained model is suitable for control design. The simulation presents the accuracies and effectiveness of the proposed modeling methodologies. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25299863 [article] Embedded interval type - 2 T - S fuzzy time / space separation modeling approach for nonlinear distributed parameter system [texte imprimé] / Mengling Wang, Auteur ; Ning Li, Auteur ; Shaoyuan Li, Auteur . - 2012 . - pp. 13954–13961. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 24 (Décembre 2011) . - pp. 13954–13961 Mots-clés : Distributed  parameter  system  Modeling Résumé : Challenging modeling problems include how to obtain a simple and accurate model for a partial differential equation (PDE) unknown nonlinear distributed parameter system (DPS). In this paper, a time/space separation modeling approach based on the interval type-2 T-S fuzzy model (IT2 T-S model) is proposed for nonlinear DPS. First, the spatial-temporal output is divided into a few dominant spatial basis functions and low-dimensional time series by a linear time/space separation method. Second, the interval type-2 T-S fuzzy model is determined from the low-dimensional time series to reconstruct the system dynamics through the spatial basis functions. As the IT2 T-S model employs an interval linear model in the consequent part, the relationship between the input and spatial output can be determined by linear expressions through type reduction and linear time/space reconstruction. Thus, the obtained model is suitable for control design. The simulation presents the accuracies and effectiveness of the proposed modeling methodologies. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25299863

Local model - based predictive control for spatially - distributed systems based on linear programming / Mengling Wang in Industrial & engineering chemistry research, Vol. 51 N° 29 (Juillet 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9783-9789 Titre : Local model - based predictive control for spatially - distributed systems based on linear programming Type de document : texte imprimé Auteurs : Mengling Wang, Auteur ; Yang Zhang, Auteur ; Hongbo Shi, Auteur Année de publication : 2012 Article en page(s) : pp. 9783-9789 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Linear  programming  Predictive  controlModeling Résumé : A local model-based predictive control strategy based on linear programming is proposed for partial differential equation descriptions unknown spatially distributed systems (SDSs). First, the interval type-2 T-S fuzzy based local modeling approach is developed to estimate the dynamics of the SDS based on the input—output data. On the basis of the local IT2 T-S fuzzy model, the local model-based predictive controller is designed to obtain local controlled outputs through minimizing the local optimization objective. Finally, the global controlled outputs are obtained by a linear programming method, where the deviations of the spatial temporal outputs from their spatial set points over the prediction horizon are considered as the optimal objective. The accuracy and efficiency of the proposed methodologies are tested in the simulation case. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184957 [article] Local model - based predictive control for spatially - distributed systems based on linear programming [texte imprimé] / Mengling Wang, Auteur ; Yang Zhang, Auteur ; Hongbo Shi, Auteur . - 2012 . - pp. 9783-9789. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9783-9789 Mots-clés : Mathematical  programming  Linear  programming  Predictive  controlModeling Résumé : A local model-based predictive control strategy based on linear programming is proposed for partial differential equation descriptions unknown spatially distributed systems (SDSs). First, the interval type-2 T-S fuzzy based local modeling approach is developed to estimate the dynamics of the SDS based on the input—output data. On the basis of the local IT2 T-S fuzzy model, the local model-based predictive controller is designed to obtain local controlled outputs through minimizing the local optimization objective. Finally, the global controlled outputs are obtained by a linear programming method, where the deviations of the spatial temporal outputs from their spatial set points over the prediction horizon are considered as the optimal objective. The accuracy and efficiency of the proposed methodologies are tested in the simulation case. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184957

Local modeling approach for spatially distributed system based on interval type - 2 T - S fuzzy sets / Mengling Wang in Industrial & engineering chemistry research, Vol. 49 N° 9 (Mai 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4352–4359 Titre : Local modeling approach for spatially distributed system based on interval type - 2 T - S fuzzy sets Type de document : texte imprimé Auteurs : Mengling Wang, Auteur ; Ning Li, Auteur ; Shaoyuan Li, Auteur Année de publication : 2010 Article en page(s) : pp. 4352–4359 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Spatial  dynamics Résumé : It is important to choose the appropriate type of local model to reduce the model error for a spatially distributed system (SDS) under large uncertainties. In this paper, a new local modeling approach is proposed to estimate the spatial dynamics of SDS based on input output data. The interval type-2 T-S fuzzy model is developed to the local dynamics in consideration of the mutual influence of neighbor regions. The parameters and the proper fuzzy rules of the local models are obtained by using interval type-2 fuzzy satisfactory clustering algorithm. Then the global models can be determined by constructing the local models by smooth interpolation. The accuracies of the modeling methodologies are tested in the shell and tube heat exchanger. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901278r [article] Local modeling approach for spatially distributed system based on interval type - 2 T - S fuzzy sets [texte imprimé] / Mengling Wang, Auteur ; Ning Li, Auteur ; Shaoyuan Li, Auteur . - 2010 . - pp. 4352–4359. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4352–4359 Mots-clés : Spatial  dynamics Résumé : It is important to choose the appropriate type of local model to reduce the model error for a spatially distributed system (SDS) under large uncertainties. In this paper, a new local modeling approach is proposed to estimate the spatial dynamics of SDS based on input output data. The interval type-2 T-S fuzzy model is developed to the local dynamics in consideration of the mutual influence of neighbor regions. The parameters and the proper fuzzy rules of the local models are obtained by using interval type-2 fuzzy satisfactory clustering algorithm. Then the global models can be determined by constructing the local models by smooth interpolation. The accuracies of the modeling methodologies are tested in the shell and tube heat exchanger. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901278r