| Título |
Distributed Hybrid Observer With Prescribed Convergence Rate for a Linear Plant Using Multi-Hop Decomposition |
| Autores |
Bertollo, Riccardo , MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Seuret, Alexandre , Zaccarian, Luca |
| Publicación externa |
No |
| Medio |
IEEE Control Systems Letters |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil SJR |
1 |
| Impacto SJR |
1.687 |
| Ámbito |
Internacional |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134232230&doi=10.1109%2fLCSYS.2022.3188476&partnerID=40&md5=0f040ff590e0d2f51564ab69d3e0629a |
| Fecha de publicacion |
04/07/2022 |
| ISI |
000825964200001 |
| Scopus Id |
2-s2.0-85134232230 |
| DOI |
10.1109/LCSYS.2022.3188476 |
| Abstract |
We propose a distributed hybrid observer for a sensor network where the plant and local observers run in continuous time and the information exchange among the sensing nodes is sampled-data. Process disturbances, measurement noise and communication noise are considered, and we prove that under some necessary detectability assumptions the observer gains can be tuned to guarantee exponential Input-to-State Stability with a prescribed convergence rate. Simulations illustrate the performance of the proposed observer. |
| Palabras clave |
Observers; Robot sensing systems; Time measurement; Observability; Information exchange; Power system stability; Noise measurement; Observers for linear systems; sensor networks; hybrid systems |
| Miembros de la Universidad Loyola |
|
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