Título Stochastic MPC with applications to process control
Autores JURADO FLORES, ISABEL, MILLÁN GATA, PABLO, Quevedo, D., Rubio, F. R., MILLÁN GATA, PABLO, JURADO FLORES, ISABEL
Publicación externa No
Medio Int. J. Control
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 1.65400
Impacto SJR 1.20600
Ámbito Internacional
Fecha de publicacion 03/04/2015
ISI 000350449200010
Scopus Id 2-s2.0-84924491477
DOI 10.1080/00207179.2014.975845
Abstract This paper presents a model predictive control formulation for Networked Control Systems subject to independent and identically distributed delays and packet dropouts. The design takes into account the presence of a communication network in the control loop, resorting to a buffer at the actuator side to store and consistently apply delayed control sequences when fresh control inputs are not available. The proposed approach uses a statistical description of transmissions to optimise the expected future control performance conditioned upon the current system state, previously calculated control packets and transmission acknowledgements. Experimental studies using a quadruple tank process illustrate the applicability of the method to process control.
Palabras clave packet dropouts; packetised model predictive control; networked control systems; time-delays
Miembros de la Universidad Loyola

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