Le filtre de Kalman étendu : principe et exemple » Sciences et Techniques
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Conclusion Le filtre de Kalman étendu permet donc de linéariser localement des systèmes non linéaire. Ceci assure donc la convergence locale de l'erreur, mais non celle globale. Un surcoût de calcul est constaté par rapport au filtre de Kalman classique.
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