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A method to estimate the process noise covariance for a certain class of nonlinear systems

Abstract : A new method to compute the covariance matrix of the process noise is presented in this paper. This procedure is shown in the context of an Extended Kalman Filter. However, it does not use any of the matrices of the filter and is therefore independent of it. The method uses a constant covariance matrix for the measurement noise and, at each iteration, it re-computes the values of the process noise covariance matrix. The proposed method and two other ones, selected from the literature, are tested to estimate the current generated by a Permanent Magnet Synchronous Generator. All three methods are tested in the context of the Extended Kalman Filter. The obtained results are compared and discussed to highlight the strengths and weaknesses of the proposed approach.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02301590
Contributeur : Houcine Chafouk <>
Soumis le : lundi 30 septembre 2019 - 15:34:13
Dernière modification le : jeudi 5 mars 2020 - 15:31:50

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L.I. Gliga, Houcine Chafouk, D. Popescu, C. Lupu. A method to estimate the process noise covariance for a certain class of nonlinear systems. Mechanical Systems and Signal Processing, Elsevier, 2019, 131, pp.381-393. ⟨10.1016/J.YMSSP.2019.05.054⟩. ⟨hal-02301590⟩

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