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Simple and efficient linear and nonlinear filters by regular perturbation methods

  • Part II : Filter Theory
  • Conference paper
  • First Online:
Stochastic Differential Systems

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 43))

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References

  1. B. Z. Bobrovsky, M. Zakai, "Asymptotic bounds on the minimal mean square error of nonlinear filtering," in Stochastic Systems: The Mathematics of filtering and Identification and Applications (Hazewinkel and Willems, editors), 1981, D. Reidel Publishing Co., pp. 573–581.

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Author information

Authors and Affiliations

  1. Laboratory for Measurement and Control, ETH-Zentrum, CH-8092, Zurich, Switzerland

    B. Z. Bobrovsky & H. P. Geering

Authors
  1. B. Z. Bobrovsky
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  2. H. P. Geering
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Editor information

M. Kohlmann N. Christopeit

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© 1982 Springer-Verlag

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Bobrovsky, B.Z., Geering, H.P. (1982). Simple and efficient linear and nonlinear filters by regular perturbation methods. In: Kohlmann, M., Christopeit, N. (eds) Stochastic Differential Systems. Lecture Notes in Control and Information Sciences, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0044297

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  • DOI: https://doi.org/10.1007/BFb0044297

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-12061-2

  • Online ISBN: 978-3-540-39518-8

  • eBook Packages: Springer Book Archive

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