Article
Stochastic MPC with applications to process control
Author/s | Jurado, I.
Millán, P. Quevedo, D. Rodríguez Rubio, Francisco ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2015 |
Deposit Date | 2021-01-15 |
Published in |
|
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 ... 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. |
Project ID. | DPI2010-19154
![]() |
Citation | 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. |
Files | Size | Format | View | Description |
---|---|---|---|---|
Stochastic_MPC.pdf | 236.5Kb | ![]() | View/ | |