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