A comparison study of MPC strategies based on minimum variance control index performance

Model Predictive Control (MPC) is a useful tool when controlling processes that handle a large number of input and output variables. This study presents a comparison of different MPC strategies when they are subjected to control process variables directly. The strategies studied are IMC, GPC, MPC-D,...

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Autores:
BORRERO-SALAZAR, Alex A.
CARDENAS-CABRERA, Jorge M.
BARROS-GUTIERREZ, Daniel A.
JIMÉNEZ-CABAS, Javier A.
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5002
Acceso en línea:
https://hdl.handle.net/11323/5002
https://repositorio.cuc.edu.co/
Palabra clave:
MPC design
Minimum variance control
FCOR
CSTR
Diseño MPC
Control de Mínima Varianza
Rights
openAccess
License
CC0 1.0 Universal