BARROSO, Nelson; USHIROBIRA, Rosane; EFIMOV, Denis; SOW, Mohamedou; MASSABUAU, Jean Charles

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BARROSO, Nelson
Finite-time control and estimation for distributed systems [VALSE]

USHIROBIRA, Rosane
Finite-time control and estimation for distributed systems [VALSE]

EFIMOV, Denis
Finite-time control and estimation for distributed systems [VALSE]

Langue

Communication dans un congrès

Ce document a été publié dans

IFAC 2020 - 21st IFAC World Congress, 2020-07, Berlin.

Résumé en anglais

In this paper, a model-based adaptive filter is used to suppress electrical noise in a high-frequency noninvasive valvometry device, which is part of an autonomous biosensor system using bivalve mollusks valve-activity measurements for ecological monitoring purposes. The proposed model-based adaptive filter uses the dynamic regressor extension and mixing method to allow a decoupled estimation of the parameters. Once the desired regression form of the output model is obtained, a fixed-time estimation approach is used to identify its parameters. By applying these two techniques, a flexible filter structure is obtained with the property of retaining the major relevant components of interest of the original valve-activity signals, even in the case when the unwanted signal frequency components are in the same frequency range as the useful variables.< Réduire

Mots clés en anglais

Adaptive filtering

Fault detection

Parameter identification

Biosensors

Ecological monitoring

URI

https://oskar-bordeaux.fr/handle/20.500.12278/199105

Project ANR

Surveillance de la qualité de eaux côtières à l'aide de molusques bivalves bio-capteurs - ANR-15-CE04-0002

Unités de recherche

EPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805