Title Distributed Hybrid Observer With Prescribed Convergence Rate for a Linear Plant Using Multi-Hop Decomposition
Authors Bertollo, Riccardo , MILLÁN GATA, PABLO, ORIHUELA ESPINA, DIEGO LUIS, Seuret, Alexandre , Zaccarian, Luca
External publication No
Means IEEE Control Systems Letters
Scope Article
Nature Científica
SJR Quartile 1
SJR Impact 1.687
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134232230&doi=10.1109%2fLCSYS.2022.3188476&partnerID=40&md5=0f040ff590e0d2f51564ab69d3e0629a
Publication date 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.
Keywords Observers; Robot sensing systems; Time measurement; Observability; Information exchange; Power system stability; Noise measurement; Observers for linear systems; sensor networks; hybrid systems
Universidad Loyola members

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