Artículo

On Economic Optimality of Model Predictive Control

Ferramosca, AntonioIcon ; González, Alejandro HernánIcon ; Limon, Daniel; Bustos, Germán AndrésIcon ; Godoy, José LuisIcon ; Marchetti, Jacinto LuisIcon
Fecha de publicación: 10/2014
Editorial: Institute of Electrical and Electronics Engineers
Revista: IEEE Latin America Transactions
ISSN: 1548-0992
Idioma: Español
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

Model Predictive Control (MPC) is the most used advanced control strategy in the industries, mainly due to its capability to fulfill economic objectives, taking into account a dynamic simplified model of the plant, constraints, and stability requirements. In the last years, several economic formulations of MPC have been presented, which get over the standard setpointtracking formulation. The goal of this work is to provide, by means of application to a highly nonlinear plant, a comparison of different strategies, focusing mainly on economic optimality, computational burden, and economic performance.
Palabras clave: Model Predictive Control , Economics , Real Time Optimization
 
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/22414
DOI: http://dx.doi.org/10.1109/TLA.2014.6948858
URL: http://ieeexplore.ieee.org/document/6948858/
Colecciones
Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
Ferramosca, Antonio; González, Alejandro Hernán; Limon, Daniel; Bustos, Germán Andrés; Godoy, José Luis; et al.; On Economic Optimality of Model Predictive Control; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 7; 10-2014; 1234-1241
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