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Distributed Hybrid Observer With Prescribed Convergence Rate for a Linear Plant Using Multi-Hop Decomposition

Authors :
Riccardo Bertollo
Pablo Millan
Luis Orihuela
Alexandre Seuret
Luca Zaccarian
Università degli Studi di Trento (UNITN)
Universidad Loyola Andalucía = Loyola University Andalucía
Universidad de Sevilla / University of Sevilla
Équipe Méthodes et Algorithmes en Commande (LAAS-MAC)
Laboratoire d'analyse et d'architecture des systèmes (LAAS)
Université Toulouse Capitole (UT Capitole)
Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse)
Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J)
Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3)
Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP)
Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole)
Université de Toulouse (UT)
ANR-18-CE40-0010,HANDY,Systèmes Dynamiques Hybrides et en Réseau(2018)
Source :
IEEE Control Systems Letters, IEEE Control Systems Letters, 2022, 7, pp.331-336. ⟨10.1109/LCSYS.2022.3188476⟩
Publication Year :
2023
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2023.

Abstract

With a continuous-time formulation of the multihop decomposition, 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 ISS with a prescribeda convergence rate. Simulations illustrate the performance of the proposed observer.

Details

ISSN :
24751456
Volume :
7
Database :
OpenAIRE
Journal :
IEEE Control Systems Letters
Accession number :
edsair.doi.dedup.....58398ce9e128cf6b8894d7a632b1068b