Jurado, I.Millán, P.Quevedo, DanielRodríguez Rubio, Francisco2021-01-152021-01-152015Jurado, I., Millán, P., Quevedo, D. y Rodríguez Rubio, F. (2015). Stochastic MPC with applications to process control. International Journal of Control, 88 (4), 792-800.0020-7179https://hdl.handle.net/11441/103789This 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.application/pdf9 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Packetised model predictive controlPacket dropoutsTime-delaysinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1080/00207179.2014.975845