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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 Syst. Lett.

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

SJR Impact

1.687

Area

International

Publication date

04/07/2022

ISI

000825964200001

Scopus Id

2-s2.0-85134232230

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

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