Artículo
Stochastic MPC with applications to process control
Autor/es | Jurado, I.
Millán, P. Quevedo, D. Rodríguez Rubio, Francisco |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2015 |
Fecha de depósito | 2021-01-15 |
Publicado en |
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Resumen | 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 ... 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. |
Identificador del proyecto | DPI2010-19154 |
Cita | Jurado, 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Stochastic_MPC.pdf | 236.5Kb | [PDF] | Ver/ | |