| Title |
Stochastic MPC with applications to process control |
| Authors |
JURADO FLORES, ISABEL, MILLÁN GATA, PABLO, Quevedo, D. , Rubio, F. R. |
| External publication |
No |
| Means |
Int J Control |
| Scope |
Article |
| Nature |
Científica |
| JCR Quartile |
2 |
| SJR Quartile |
1 |
| JCR Impact |
1.65400 |
| SJR Impact |
1.20600 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924491477&doi=10.1080%2f00207179.2014.975845&partnerID=40&md5=fea15857b8fa4f4d93c86bc60760d951 |
| Publication date |
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. |
| Keywords |
packet dropouts; packetised model predictive control; networked control systems; time-delays |
| Universidad Loyola members |
|
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