Robust Tuning for Classical MPC through the Multi-scenarios Approach-Reference-Cited by-同舟云学术

Robust Tuning for Classical MPC through the Multi-scenarios Approach

Published:2019-01-20 Issue:8 Volume:58 Page:3146-3158
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Santos José Eduardo W.¹^ORCID,Trierweiler Jorge Otávio¹,Farenzena Marcelo¹

Affiliation:

1. Group of Intensification, Modeling, Simulation, Control, and Optimization of Processes (GIMSCOP). 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

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.8b05485

Reference23 articles.

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3. Ferramosca, A.; Limon, D.; González, A. H.; Odloak, D.; Camacho, E. F. MPC for Tracking Target Sets. In Proceedings of the IEEE Conference on Decision and Control; IEEE, 2009; pp 8020–8025.

4. A survey of industrial model predictive control technology

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