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Implementation of First Order Algebraic Estimators for Numerical Filtering and Derivation Applications

Vincent Judalet 1 Sébastien Glaser 1 Clément Boussard 1 Said Mammar 2
1 IFSTTAR/COSYS/LIVIC - Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
Abstract : This paper investigates the use of algebraic estimators for numerical filtering and derivation applications. After giving some explanations for the choice of the estimator order, we focus on the order one. The frequency and time responses are compared with standard filtering and derivation methods, including the Kalman filter. These estimators are finally implemented and tested with real sensor signals. Results show that for quite equivalent performances, Kalman filter is less time consuming, while the first order algebraic filter is easier to implement without a priori knowledge on the signal.
keyword : FILTRAGE
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01058264
Contributor : Ifsttar Cadic <>
Submitted on : Tuesday, August 26, 2014 - 2:16:16 PM
Last modification on : Tuesday, December 8, 2020 - 10:20:49 AM

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  • HAL Id : hal-01058264, version 1

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UNIV-EVRY | IFSTTAR | IBISC | TDS-MACS

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Vincent Judalet, Sébastien Glaser, Clément Boussard, Said Mammar. Implementation of First Order Algebraic Estimators for Numerical Filtering and Derivation Applications. 19th IFAC World Congress on International Federation of Automatic Control (IFAC 2014), Aug 2014, Cap Town, South Africa. pp.9152 --9158. ⟨hal-01058264⟩

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