| Título | Distributed estimation design for LTI systems: a linear quadratic approach |
|---|---|
| Autores | RODRÍGUEZ DEL NOZAL, ÁLVARO, ORIHUELA ESPINA, DIEGO LUIS, MILLÁN GATA, PABLO |
| Publicación externa | No |
| Medio | Int J Syst Sci |
| Alcance | Article |
| Naturaleza | Científica |
| Cuartil JCR | 2 |
| Cuartil SJR | 2 |
| Impacto JCR | 2.149 |
| Impacto SJR | 0.791 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074370192&doi=10.1080%2f00207721.2019.1674407&partnerID=40&md5=b58555920fae550d821a41d4de00dd7b |
| Fecha de publicacion | 01/01/2019 |
| ISI | 000490146800001 |
| Scopus Id | 2-s2.0-85074370192 |
| DOI | 10.1080/00207721.2019.1674407 |
| Abstract | This paper deals with the problem of distributedly estimate the state of a plant through a network of interconnected agents. Each of these agents must perform a real-time monitoring of the plant state, counting on the measurements of local plant outputs and on the exchange of information with neighbouring agents. The paper introduces a distributed LQ-based design that is applied to a distributed observer structure based on a multi-hop subspace decomposition. Stability and optimality conditions are derived and tested in simulation. Finally, the design method presented allows the user, through the tune of two scalar parameters, to modify the observer gains according to their experience about the plant. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. |
| Palabras clave | Design; Linear systems; State estimation; Distributed estimation; Exchange of information; linera quadratic; LTI systems; Observer structure; Optimality conditions; Real time monitoring; Subspace decomposition; Multi agent systems |
| Miembros de la Universidad Loyola |