INVESTIGADORES
GODOY Jose Luis
artículos
Título:
On Economic Optimality of Model Predictive Control
Autor/es:
A. FERRAMOSCA; A. H. GONZÁLEZ; D. LIMON; G. A. BUSTOS; J. L. GODOY; J. L. MARCHETTI
Revista:
IEEE LATIN AMERICA TRANSACTIONS
Editorial:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Referencias:
Lugar: New York; Año: 2014 vol. 12 p. 1234 - 1241
ISSN:
1548-0992
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 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.
