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Filtre de Kalman Bucy et exposants de Lyapounov

  • Chapter 1: Linear Random Dynamical Systems
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Lyapunov Exponents

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 1486))

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On considère la situation du filtrage linéaire à coefficients aléatoires stationnaires. On montre que les généralisations des résultats de Kalman sur le comportement asymptotique du filtre, que nous avions obtenues à partir de propriétés de contraction, peuvent aussi être montrées en utilisant le théorème d'Osseledets et un résultat de M. Wojtkowski. Le filtre est exponentiellement stable avec un taux déterminé par le plus petit exposant de Lyapounov positif d'un produit de matrices symplectiques.

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Références

  1. Balakrishnan, A.V. (1984): Kalman Filtering Theory. Optimization Software, New York.

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  2. Bougerol, P. (1990): Kalman filtering with random coefficients and contractions (Preprint).

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  3. Loomis, L.H. et Sternberg, S.: Advanced Calculus. Addison Wesley, Reading, Ma.

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  4. Osseledets, V.I. (1968): The multiplicative ergodic theorem. The Lyapunov characteristic numbers of a dynamical system. Trans. Mosc. Math. Soc., 19, 197–231.

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  5. Whittle, P. (1982): Optimization over time. Vol. 1. Wiley, Chichester, New-York.

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  6. Wojtkowski, M. (1985): Invariant families of cones and Lyapunov exponents. Ergod. Th. & Dynam. Sys., 5, 145–161.

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  7. Wojtkowski, M. (1988): Measure theoretic entropy of the system of hard spheres. Ergod. Th. & Dynam. Sys., 8, 133–153.

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Ludwig Arnold Hans Crauel Jean-Pierre Eckmann

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© 1991 Springer-Verlag

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Bougerol, P. (1991). Filtre de Kalman Bucy et exposants de Lyapounov. In: Arnold, L., Crauel, H., Eckmann, JP. (eds) Lyapunov Exponents. Lecture Notes in Mathematics, vol 1486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0086662

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  • DOI: https://doi.org/10.1007/BFb0086662

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54662-7

  • Online ISBN: 978-3-540-46431-0

  • eBook Packages: Springer Book Archive

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