| Título |
Networked Predictive Control of Systems with Data Dropouts |
| Autores |
MILLÁN GATA, PABLO, JURADO FLORES, ISABEL, Vivas, Carlos , Rubio, Francisco R. |
| Publicación externa |
Si |
| Medio |
Ieee Conference On Decision And Control |
| Alcance |
Proceedings Paper |
| Naturaleza |
Científica |
| Fecha de publicacion |
01/01/2008 |
| ISI |
000307311602136 |
| DOI |
10.1109/CDC.2008.4739047 |
| Abstract |
This paper presents a practical algorithm to design networked control systems able to cope with high data dropout rates. The algorithm is intended for application in packet based networks protocols (Ethernet-like) where data packets typically content large data fields. The key concept is using such packets to transmit not only the current control signal, but predictions on a finite horizon without significantly increasing traffic load. Thus, predictive control is used together with buffered actuators and a state estimator to compensate for eventual packet dropouts. Additionally, some ideas are proposed to decrease traffic load, limiting packet size and media access frequency. Simulation results on the control of a three-tank system are given to illustrate the effectiveness of the method. |
| Miembros de la Universidad Loyola |
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