| Título |
Distributed Control and Estimation Scheme With Applications to Process Control |
| Autores |
ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO, Vivas, Carlos , Rubio, Francisco R. |
| Publicación externa |
No |
| Medio |
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
1 |
| Cuartil SJR |
1 |
| Impacto JCR |
2.818 |
| Impacto SJR |
1.966 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027932058&doi=10.1109%2fTCST.2014.2364120&partnerID=40&md5=601f3b51eafed3bdeca9956a335b0934 |
| Fecha de publicacion |
01/07/2015 |
| ISI |
000356523600025 |
| Scopus Id |
2-s2.0-85027932058 |
| DOI |
10.1109/TCST.2014.2364120 |
| Abstract |
This brief proposes an innovative estimation and control scheme that enables the distributed monitoring and control of large-scale processes. The proposed approach considers a discrete linear time-invariant process controlled by a network of agents that may both, collect information about the evolution of the plant, and apply control actions to drive its behavior. The problem makes full sense when local observability/controllability is not assumed and the communication between agents can be exploited to reach system-wide goals. The design procedure guarantees system stability, allowing the designer to tradeoff performance and control effort. The obtained controllers and observers are implemented in a fully distributed fashion. To show the performance of the proposed technique, simulation results on a water delivery system are provided. |
| Palabras clave |
Distributed estimation and control; large-scale plants; sensor networks (SNs) |
| Miembros de la Universidad Loyola |
|
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