Improved design of constrained model predictive tracking control for batch processes against unknown uncertainties.

Wu, Sheng; Jin, Qibing; Zhang, Ridong; Zhang, Junfeng; Gao, Furong

Wu, Sheng; Jin, Qibing; Zhang, Ridong; Zhang, Junfeng; Gao, Furong.

Afiliación

Wu S; Key Lab for IOT and Information Fusion Technology of Zhejiang, Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China.
Jin Q; Institute of Automation, Beijing University of Chemical Technology, Beijing 100029, PR China.
Zhang R; Key Lab for IOT and Information Fusion Technology of Zhejiang, Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China; Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Hong Kong.
Zhang J; Key Lab for IOT and Information Fusion Technology of Zhejiang, Information and Control Institute, Hangzhou Dianzi University, Hangzhou 310018, PR China.
Gao F; Department of Chemical and Biomolecular Engineering, Hong Kong University of Science and Technology, Hong Kong.

ISA Trans ; 69: 273-280, 2017 Jul.

Article en En | MEDLINE | ID: mdl-28411952

Palabras clave

Batch processes; Robust model predictive control; State space models; Tracking control

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ISA Trans Año: 2017 Tipo del documento: Article

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