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Part of the book series: Mathematics and Its Applications ((MAIA,volume 29))

Abstract

There are several ways to introduce geometry into the problem of estimating the state of nonlinear process given observations of it. We classify these as intrinsic or extrinsic. We show how the linearizability of this problem is related to the existence of an intrinsic Koszul connection on the output space and its curvature and torsion.

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References

  1. Brockett, R.W. Remarks on finite dimensional nonlinear estimation. Asterique, 75–76 (1980) pp 47–55.

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  2. Krener, A.J. and W. Respondek, Nonlinear observers with linearizable error dynamics, to appear, SIAM J. Control and Optimization, 1985.

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  3. Marcus, S.I., Algebraic and geometric methods in nonlinear filtering, SIAM J. Control and Optimization 22 (1984) pp 817–844.

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  4. Spivak, M. A Comprehensive Introduction to Differential Geometry, V. II, Publish or Perish Press, Berkeley, 1979.

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© 1986 D. Reidel Publishing Company

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Krener, A.J. (1986). The Intrinsic Geometry of Dynamic Observations. In: Fliess, M., Hazewinkel, M. (eds) Algebraic and Geometric Methods in Nonlinear Control Theory. Mathematics and Its Applications, vol 29. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4706-1_5

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  • DOI: https://doi.org/10.1007/978-94-009-4706-1_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8593-9

  • Online ISBN: 978-94-009-4706-1

  • eBook Packages: Springer Book Archive

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