| Título |
Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems |
| Autores |
MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, JURADO FLORES, ISABEL |
| Publicación externa |
No |
| Medio |
Int J Control |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
2 |
| Cuartil SJR |
1 |
| Impacto JCR |
2.78000 |
| Impacto SJR |
1.09000 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027877406&doi=10.1080%2f00207179.2017.1365272&partnerID=40&md5=f9b61ff9e984c98b062dedb2fd09c81b |
| Fecha de publicacion |
04/03/2019 |
| ISI |
000465220400016 |
| Scopus Id |
2-s2.0-85027877406 |
| DOI |
10.1080/00207179.2017.1365272 |
| Abstract |
A new technique for distributed estimation and control of large-scale systems is presented in this paper. The proposed method makes use of a set of agents that implement local H-infinity controllers and Luenberger-like observers, improved with consensus-based corrections that incorporate information received from other agents. The communication between agents is assumed to be unreliable, this is modelled by time-varying delays and packet dropouts. The proposed methodology is an application for a class of nonlinear system affected by external disturbances. Some simulations are presented to illustrate the performance of this technique compared to the centralised case. |
| Palabras clave |
Distributed control; networked control; robust control; discrete time systems |
| Miembros de la Universidad Loyola |
|
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