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Backward representation of Markov jump processes and related problems. II. Optimal nonlinear estimation

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Abstract

Solutions of the problem of optimal nonlinear smoothing (interpolation) of the state of a special Markov jump process from indirect observations in Wiener noise were obtained. The optimal nonlinear estimates were examined and compared with the corresponding optimal linear estimates described in Part I.

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References

  1. Borisov, A.V., Backward Representation of Markov Jump Processes and Related Problems. I, Avtom. Telemekh., 2006, no. 8, pp. 51–76.

  2. Borisov, A.V., Analysis and Estimation of the States of Special Jump Markov Processes. II, Avtom. Telemekh., 2004, no. 5, pp. 61–76.

  3. Martynyuk, A.A., Lakshmikantam, V., and Lila, S., Ustoichivost’ dvizheniya: metod integral’nykh neravenstv (Motion Stability: Methods of Integral Inequalities), Kiev: Naukova Dumka, 1989.

    Google Scholar 

  4. Cramer, H. and Leadbetter, M., Stationary and Related Stochastic Processes, New York: Wiley, 1967. Translated under the title Statsionarnye sluchainye protsessy, Moscow: Mir, 1969.

    MATH  Google Scholar 

  5. Liptser, R.Sh. and Shiryaev, A.N., Statistika sluchainykh protsessov (Statistics of Random Processes), Moscow: Nauka, 1974.

    Google Scholar 

  6. Wall, J.E., Willsky, A.S., and Sandell, N.R., On the Fixed-Interval Smoothing Problem, Stochastics, 1981, vol. 5, no. 1, pp. 1–41.

    MATH  MathSciNet  Google Scholar 

  7. Pardoux, E., Stochastic Partial Differential Equations and Filtering of Diffusion Processes, Stochastics, 1979, vol. 3, pp. 127–167.

    MATH  MathSciNet  Google Scholar 

  8. Gikhman, I.I. and Skorokhod, A.V., Teoriya sluchainykh protsessov (Theory of Random Processes), Moscow: Nauka, 1973, vol. 2.

    Google Scholar 

  9. Pardoux, E., Smoothing of a Diffusion Conditioned at Final Time. Stochastic Differential Systems, Lect. Notes Control Info Sci., Kohlman, M. and Christopeit, N., Eds., New York: Springer, 1982, vol. 43, pp. 187–196.

    Google Scholar 

  10. Pardoux, E., Equations du lissage non linéaire. Filtering and control of random processes, Lect. Notes Control Info Sci, Korezlioglu, H., Mazziotto, G., and Szpirglas, J., Eds., New York: Springer, 1984, vol. 61, pp. 206–218.

    Google Scholar 

  11. Elliott, R.J. and Krishnamurthy, V., Exact Finite-Dimensional Filters for Maximum Likelihood Parameter Estimation of Continuous-Time Linear Gaussian Systems, SIAM J. Control Optim., 1997, vol. 35, no. 6, pp. 1908–1923.

    Article  MATH  MathSciNet  Google Scholar 

  12. Charalambous, C.D., Elliott, R.J., and Krishnamurthy, V., Conditional Moment Generating Functions for Integrals and Stochastic Integrals, SIAM J. Control Optim., 2003, vol. 42, no. 5, pp. 1578–1603.

    Article  MATH  MathSciNet  Google Scholar 

  13. Aggoun, L. and Elliott, R.J., Measure Theory and Filtering: Introduction and Applications, Cambridge: Cambridge Univ. Press, 2004.

    Google Scholar 

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Original Russian Text © A.V. Borisov, 2006, published in Avtomatika i Telemekhanika, 2006, No. 9, pp. 120–141.

This work was supported in part by the Russian Foundation for Basic Research, project no. 05-01-00508a, and OITVS Project “Fundamental Algorithms for Information Technologies,” Russian Academy of Sciences, project no. 1.5.

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Borisov, A.V. Backward representation of Markov jump processes and related problems. II. Optimal nonlinear estimation. Autom Remote Control 67, 1466–1484 (2006). https://doi.org/10.1134/S0005117906090098

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  • DOI: https://doi.org/10.1134/S0005117906090098

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