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 setpoint-tracking 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.

(2014). On Economic Optimality of Model Predictive Control . Retrieved from http://hdl.handle.net/10446/169464

On Economic Optimality of Model Predictive Control

Ferramosca, Antonio;
2014-01-01

Abstract

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 setpoint-tracking 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.
2014
Ferramosca, Antonio; González, Alejandro H.; Limon, Daniel; Bustos, German; Godoy, José L.; Marchetti, Jacinto
File allegato/i alla scheda:
File Dimensione del file Formato  
AADECA_2014.pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 281.36 kB
Formato Adobe PDF
281.36 kB Adobe PDF Visualizza/Apri
Dichiarazione di edizione.pdf

accesso aperto

Versione: non applicabile
Licenza: Licenza default Aisberg
Dimensione del file 95.32 kB
Formato Adobe PDF
95.32 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/169464
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact