Documents disponibles écrits par cet auteur

Integrated design and control under uncertainty / XinJiang Lu in Industrial & engineering chemistry research, Vol. 49 N° 3 (Fevrier 2010)

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 3 (Fevrier 2010) . - pp. 1312–1324 Titre : Integrated design and control under uncertainty : a fuzzy modeling approach Type de document : texte imprimé Auteurs : XinJiang Lu, Auteur ; Han-Xiong, Li, Auteur ; Ji-An Duan, Auteur Année de publication : 2010 Article en page(s) : pp. 1312–1324 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Integrated--Design--Control--Uncertainty--uzzy  Modeling--Approach Résumé : A novel integration of design and control is proposed for the nonlinear process under uncertainty. The fuzzy modeling method is first employed to approximate the process, upon which fuzzy control rules are developed to achieve the stability, robustness and feasibility. Then, the steady-state economic design and the control system design are integrated into a unified objective function, which can guarantee the desirable economic and dynamic performances. Finally, the proposed method is compared with the traditional sequential method and an existing integration method on controlling the temperature profile of a nonlinear curing process. The comparison demonstrates that the proposed method will have the better performances than the other two methods. ISSN : 0888-5885 [article] Integrated design and control under uncertainty : a fuzzy modeling approach [texte imprimé] / XinJiang Lu, Auteur ; Han-Xiong, Li, Auteur ; Ji-An Duan, Auteur . - 2010 . - pp. 1312–1324. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 3 (Fevrier 2010) . - pp. 1312–1324 Mots-clés : Integrated--Design--Control--Uncertainty--uzzy  Modeling--Approach Résumé : A novel integration of design and control is proposed for the nonlinear process under uncertainty. The fuzzy modeling method is first employed to approximate the process, upon which fuzzy control rules are developed to achieve the stability, robustness and feasibility. Then, the steady-state economic design and the control system design are integrated into a unified objective function, which can guarantee the desirable economic and dynamic performances. Finally, the proposed method is compared with the traditional sequential method and an existing integration method on controlling the temperature profile of a nonlinear curing process. The comparison demonstrates that the proposed method will have the better performances than the other two methods. ISSN : 0888-5885

Robust optimal design with consideration of robust eigenvalue assignment / XinJiang Lu in Industrial & engineering chemistry research, Vol. 49 N° 7 (Avril 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 7 (Avril 2010) . - pp. 3306–3315 Titre : Robust optimal design with consideration of robust eigenvalue assignment Type de document : texte imprimé Auteurs : XinJiang Lu, Auteur ; Han-Xiong, Li, Auteur ; C. L. Philip Chen, Auteur Année de publication : 2010 Article en page(s) : pp. 3306–3315 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Robust  Consideration  Considbust  Eigenvalue  Assignment Résumé : In this paper, a novel robust design method is proposed for the process design under uncertainty. The key idea is to integrate the robust optimal design with the robust eigenvalue assignment to design the process with the desirable steady-state design performance and the satisfactory dynamic performance. The robust optimal design is developed to achieve the desirable steady-state design performance through minimizing the steady-state objective function and its variation caused by uncertainty. The robust eigenvalue assignment is proposed to maintain the system eigenvalues in the desirable domain and make these eigenvalues less sensitive to uncertainty so that the system has the satisfactory dynamic response. The particle swarm optimization is proposed to solve the nonconvex and nondifferential integration problem. Finally, a continuously stirred tank reactor (CSTR) example is applied to demonstrate the effectiveness of the proposed integration method. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901501x [article] Robust optimal design with consideration of robust eigenvalue assignment [texte imprimé] / XinJiang Lu, Auteur ; Han-Xiong, Li, Auteur ; C. L. Philip Chen, Auteur . - 2010 . - pp. 3306–3315. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 7 (Avril 2010) . - pp. 3306–3315 Mots-clés : Robust  Consideration  Considbust  Eigenvalue  Assignment Résumé : In this paper, a novel robust design method is proposed for the process design under uncertainty. The key idea is to integrate the robust optimal design with the robust eigenvalue assignment to design the process with the desirable steady-state design performance and the satisfactory dynamic performance. The robust optimal design is developed to achieve the desirable steady-state design performance through minimizing the steady-state objective function and its variation caused by uncertainty. The robust eigenvalue assignment is proposed to maintain the system eigenvalues in the desirable domain and make these eigenvalues less sensitive to uncertainty so that the system has the satisfactory dynamic response. The particle swarm optimization is proposed to solve the nonconvex and nondifferential integration problem. Finally, a continuously stirred tank reactor (CSTR) example is applied to demonstrate the effectiveness of the proposed integration method. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901501x

Subspace - modeling - based nonlinear measurement for process design / XinJiang Lu in Industrial & engineering chemistry research, Vol. 50 N° 23 (Décembre 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13457–13465 Titre : Subspace - modeling - based nonlinear measurement for process design Type de document : texte imprimé Auteurs : XinJiang Lu, Auteur ; MingHui Huang, Auteur ; YiBo Li, Auteur Année de publication : 2012 Article en page(s) : pp. 13457–13465 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Nonlinear  processes Résumé : In industry, many nonlinear processes can be approximated well by a linear model under a suitable design parameter, upon which a linear controller can effectively control these processes. The key problem is how to find this suitable design parameter, which is never considered in process design. In this paper, a novel design for control approach is proposed to design the process to have a satisfactory linear approximation. First, a subspace-modeling-based nonlinear measurement is proposed to avoid the infinite dimensional optimization problem in the traditional nonlinearity measurement. Then a particle-swarm-optimization-based design approach is developed to obtain the optimal design parameter through solving the nonconvex and nondifferential measurement problem. Finally, the proposed design is applied to design a practical curing oven and compared with the existing design. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2008554 [article] Subspace - modeling - based nonlinear measurement for process design [texte imprimé] / XinJiang Lu, Auteur ; MingHui Huang, Auteur ; YiBo Li, Auteur . - 2012 . - pp. 13457–13465. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 23 (Décembre 2011) . - pp. 13457–13465 Mots-clés : Nonlinear  processes Résumé : In industry, many nonlinear processes can be approximated well by a linear model under a suitable design parameter, upon which a linear controller can effectively control these processes. The key problem is how to find this suitable design parameter, which is never considered in process design. In this paper, a novel design for control approach is proposed to design the process to have a satisfactory linear approximation. First, a subspace-modeling-based nonlinear measurement is proposed to avoid the infinite dimensional optimization problem in the traditional nonlinearity measurement. Then a particle-swarm-optimization-based design approach is developed to obtain the optimal design parameter through solving the nonconvex and nondifferential measurement problem. Finally, the proposed design is applied to design a practical curing oven and compared with the existing design. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2008554