Título Stochastic MPC with applications to process control
Autores JURADO FLORES, ISABEL, MILLÁN GATA, PABLO, Quevedo, D. , Rubio, F. R.
Publicación externa No
Medio INTERNATIONAL JOURNAL OF CONTROL
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 1.654
Impacto SJR 1.206
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924491477&doi=10.1080%2f00207179.2014.975845&partnerID=40&md5=fea15857b8fa4f4d93c86bc60760d951
Fecha de publicacion 03/12/2014
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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