Methodology for Detecting Model–Plant Mismatches Affecting Model Predictive Control Performance-Reference-Cited by-同舟云学术

Methodology for Detecting Model–Plant Mismatches Affecting Model Predictive Control Performance

Published:2015-11-20 Issue:48 Volume:54 Page:12072-12085
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Botelho Viviane¹,Trierweiler Jorge Otávio¹,Farenzena Marcelo¹,Duraiski Ricardo²

Affiliation:

1. Group of Intensification, Modeling, Simulation, Control, and Optimization of Processes. Chemical Engineering Department, Federal University of Rio Grande do Sul (UFRGS), R. Eng. Luiz Englert, s/n. Campus Central, Porto Alegre, Rio Grande do Sul 90040-040, Brazil

2. Trisolutions Engineering Solutions Ltd., R. General Bento Martins, 24, Porto Alegre, Rio Grande do Sul 90010-080, Brazil

Funder

Petrobras

Funda??o de Amparo ? Pesquisa do Estado do Rio Grande do Sul

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.5b01967

Reference26 articles.

1. A survey of industrial model predictive control technology

2. Performance monitoring of model-predictive controllers via model residual assessment

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