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Adjoint transfer matrix based decoupling control for multivariable processes / Shen, Yuling in Industrial & engineering chemistry research, Vol. 51 N° 50 (Décembre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 50 (Décembre 2012) . - pp. 16419-16426 Titre : Adjoint transfer matrix based decoupling control for multivariable processes Type de document : texte imprimé Auteurs : Shen, Yuling, Auteur ; Youxian Sun, Auteur ; Shaoyuan Li, Auteur Année de publication : 2013 Article en page(s) : pp. 16419-16426 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Multivariable  system Résumé : In this paper, a novel decoupling control scheme based on adjoint matrix is proposed. By introducing the concept of characteristic sequence, the characteristic sequence of both the adjoint transfer matrix and the determinant transfer function are derived from that of original process transfer matrix. The adjoint transfer matrix and determinant transfer function are then determined. Finally, the adjoint matrix is selected as a decoupler, and the decentralized controller is designed for the determinant transfer function. The effectiveness of the proposed design approach is verified by three multivariable industrial processes, which shows that it results in better overall performance compared with other methods. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26732169 [article] Adjoint transfer matrix based decoupling control for multivariable processes [texte imprimé] / Shen, Yuling, Auteur ; Youxian Sun, Auteur ; Shaoyuan Li, Auteur . - 2013 . - pp. 16419-16426. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 50 (Décembre 2012) . - pp. 16419-16426 Mots-clés : Multivariable  system Résumé : In this paper, a novel decoupling control scheme based on adjoint matrix is proposed. By introducing the concept of characteristic sequence, the characteristic sequence of both the adjoint transfer matrix and the determinant transfer function are derived from that of original process transfer matrix. The adjoint transfer matrix and determinant transfer function are then determined. Finally, the adjoint matrix is selected as a decoupler, and the decentralized controller is designed for the determinant transfer function. The effectiveness of the proposed design approach is verified by three multivariable industrial processes, which shows that it results in better overall performance compared with other methods. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26732169

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

Kernel-Based Spatiotemporal Multimodeling for Nonlinear Distributed Parameter Industrial Processes / Chenkun Qi in Industrial & engineering chemistry research, Vol. 51 N° 40 (Octobre 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 40 (Octobre 2012) . - pp. 13205–13218 Titre : Kernel-Based Spatiotemporal Multimodeling for Nonlinear Distributed Parameter Industrial Processes Type de document : texte imprimé Auteurs : Chenkun Qi, Auteur ; Han-Xiong, Li, Auteur ; Shaoyuan Li, Auteur Année de publication : 2012 Article en page(s) : pp. 13205–13218 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Industrial  processes Résumé : Many industrial processes are nonlinear distributed parameter systems (DPS) that have significant spatiotemporal dynamics. Due to different production and working conditions, they often need to work at a large operating range with multiple working points. However, direct global modeling and persistently exciting experiment in a large working region are very costly in many cases. The complex spatiotemporal coupling and infinite-dimensional nature make the problem more difficult. In this study, a kernel-based spatiotemporal multimodeling approach is proposed for the nonlinear DPS with multiple working points. To obtain a reasonable operating space division, an iterative approach is proposed where the operating space division and local modeling are performed iteratively. The working range of the current local model will help to determine the next operating point required for modeling. Utilizing the potential of each local model, the number of regions can be reduced. In the local modeling, the Karhunen–Loève method is used for the space/time separation and dimension reduction, and after that unknown parameters of kernels are estimated. Due to consideration of time-scale properties in the dimension reduction, the modeling approach is particularly suitable for dissipative PDEs, particularly of parabolic type. The multimodeling and space/time separation techniques can largely reduce the complexity of global nonlinear spatiotemporal modeling. Finally, to guarantee a smooth transition between local spatiotemporal models, a scheduling integration method is used to provide a global spatiotemporal model. To design scheduling functions, a two-stage training method is proposed to reduce the design complexity. Compared with direct global modeling, the exciting experiment and modeling for each local region become easier. Compared with one local modeling, the multimodel integration will improve modeling accuracy. The effectiveness of the proposed modeling approach is verified by simulations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301593u [article] Kernel-Based Spatiotemporal Multimodeling for Nonlinear Distributed Parameter Industrial Processes [texte imprimé] / Chenkun Qi, Auteur ; Han-Xiong, Li, Auteur ; Shaoyuan Li, Auteur . - 2012 . - pp. 13205–13218. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 40 (Octobre 2012) . - pp. 13205–13218 Mots-clés : Industrial  processes Résumé : Many industrial processes are nonlinear distributed parameter systems (DPS) that have significant spatiotemporal dynamics. Due to different production and working conditions, they often need to work at a large operating range with multiple working points. However, direct global modeling and persistently exciting experiment in a large working region are very costly in many cases. The complex spatiotemporal coupling and infinite-dimensional nature make the problem more difficult. In this study, a kernel-based spatiotemporal multimodeling approach is proposed for the nonlinear DPS with multiple working points. To obtain a reasonable operating space division, an iterative approach is proposed where the operating space division and local modeling are performed iteratively. The working range of the current local model will help to determine the next operating point required for modeling. Utilizing the potential of each local model, the number of regions can be reduced. In the local modeling, the Karhunen–Loève method is used for the space/time separation and dimension reduction, and after that unknown parameters of kernels are estimated. Due to consideration of time-scale properties in the dimension reduction, the modeling approach is particularly suitable for dissipative PDEs, particularly of parabolic type. The multimodeling and space/time separation techniques can largely reduce the complexity of global nonlinear spatiotemporal modeling. Finally, to guarantee a smooth transition between local spatiotemporal models, a scheduling integration method is used to provide a global spatiotemporal model. To design scheduling functions, a two-stage training method is proposed to reduce the design complexity. Compared with direct global modeling, the exciting experiment and modeling for each local region become easier. Compared with one local modeling, the multimodel integration will improve modeling accuracy. The effectiveness of the proposed modeling approach is verified by simulations. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie301593u

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

Multivariable process control / Shen, Yuling in Industrial & engineering chemistry research, Vol. 49 N° 2 (Janvier 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 761–771 Titre : Multivariable process control : decentralized, decoupling, or sparse? Type de document : texte imprimé Auteurs : Shen, Yuling, Auteur ; Wen-Jian Cai, Auteur ; Shaoyuan Li, Auteur Année de publication : 2010 Article en page(s) : pp 761–771 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Multivariable  control  PID  Industrial  processes  Decoupling. Résumé : In this article, a systematic approach is proposed to design PI-/PID-based multivariable control systems in which the designs and analyses of decentralized, decoupling, and sparse control schemes are all treated under a unified framework. First, based on the relative normalized gain array (RNGA), a best loop pairing is obtained using the RGA (relative gain array)−Nederlinski index (NI)−RNGA rules. The index matrix is then calculated, and the control structure is determined according to a selection criterion. Finally, the selected loop controllers are independently designed based on equivalent transfer functions. The effectiveness of the proposed design approach is verified by analysis of several multivariable industrial processes, demonstrating that the selected control structure results in better overall system performance. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901453z#afn1 [article] Multivariable process control : decentralized, decoupling, or sparse? [texte imprimé] / Shen, Yuling, Auteur ; Wen-Jian Cai, Auteur ; Shaoyuan Li, Auteur . - 2010 . - pp 761–771. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 2 (Janvier 2010) . - pp 761–771 Mots-clés : Multivariable  control  PID  Industrial  processes  Decoupling. Résumé : In this article, a systematic approach is proposed to design PI-/PID-based multivariable control systems in which the designs and analyses of decentralized, decoupling, and sparse control schemes are all treated under a unified framework. First, based on the relative normalized gain array (RNGA), a best loop pairing is obtained using the RGA (relative gain array)−Nederlinski index (NI)−RNGA rules. The index matrix is then calculated, and the control structure is determined according to a selection criterion. Finally, the selected loop controllers are independently designed based on equivalent transfer functions. The effectiveness of the proposed design approach is verified by analysis of several multivariable industrial processes, demonstrating that the selected control structure results in better overall system performance. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901453z#afn1

A new pairing method for multivariable processes / Yongfang Cheng in Industrial & engineering chemistry research, Vol. 49 N° 13 (Juillet 2010) 

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Partial decoupling control for multivariable processes / Yuling Shen in Industrial & engineering chemistry research, Vol. 50 N° 12 (Juin 2011) 

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