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Sinitsyn Vladimir Igorevich

Publications in Math-Net.Ru

  1. Neural network synthesis of an optimal linear stochastic system according to the criterion of minimum mean square error

    Sistemy i Sredstva Inform., 34:3 (2024),  87–108
  2. Nonstationary stochastic process modeling by canonical expansion and wavelet neutral network

    Sistemy i Sredstva Inform., 34:2 (2024),  21–39
  3. Optimization of linear stochastic systems based on canonical wavelet expansions

    Avtomat. i Telemekh., 2020, no. 11,  136–154
  4. Extending the theory of Liptser–Shiryaev filters

    Avtomat. i Telemekh., 2020, no. 4,  37–51
  5. Filtering and extrapolation in migrational-populational stochastic systems

    Sistemy i Sredstva Inform., 30:1 (2020),  4–19
  6. Conditionally optimal linear estimation of normal processes in Volterra stochastic systems

    Sistemy i Sredstva Inform., 29:3 (2019),  16–28
  7. Analytical modeling of processes in Volterra stochastic systems by the canonical expansions method

    Sistemy i Sredstva Inform., 29:1 (2019),  109–127
  8. Methods of ellipsoidal filtration in nonlinear stochastic systems on manifolds

    Avtomat. i Telemekh., 2018, no. 1,  147–161
  9. Analytical modeling of distributions with invariant measure in Volterra stochastic systems

    Sistemy i Sredstva Inform., 28:3 (2018),  4–25
  10. Analytical modeling of normal processes in Volterra stochastic systems

    Sistemy i Sredstva Inform., 28:2 (2018),  4–19
  11. Analytical synthesis of suboptimal filters by moments methods

    Sistemy i Sredstva Inform., 28:1 (2018),  4–19
  12. Modificated ellipsoidal conditionally optimal filters for nonlinear stochastic systems on manifolds

    Inform. Primen., 11:2 (2017),  101–111
  13. Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds

    Inform. Primen., 10:2 (2016),  24–35
  14. Analytical modeling of distributions in stochastic systems on manifolds based on ellipsoidal approximation

    Inform. Primen., 10:1 (2016),  45–55
  15. Mathematical software for suboptimal normal filtering in stochastic systems with complex fraction-rational nonlinearities

    Sistemy i Sredstva Inform., 26:3 (2016),  4–25
  16. Modified ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds

    Sistemy i Sredstva Inform., 26:2 (2016),  79–97
  17. Mathematical software for analytical modeling of normal processes in stochastic systems with complex fraction-rational nonlinearities

    Sistemy i Sredstva Inform., 26:1 (2016),  227–247
  18. Modeling of normal processes in stochastic systems with complex transcendental nonlinearities

    Inform. Primen., 9:2 (2015),  23–29
  19. Analytical modeling of normal processes in stochastic systems with complex irrational nonlinearities

    Inform. Primen., 9:1 (2015),  2–8
  20. Analytical modeling of normal processes in stochastic systems with complex fraction-rational nonlinearities

    Sistemy i Sredstva Inform., 25:4 (2015),  4–18
  21. Software for syntesis of discrete Pugachev filters for normal processes in hereditary stochastic systems

    Sistemy i Sredstva Inform., 25:2 (2015),  20–59
  22. Mathematical software for normal processes modeling in stochastic systems with complex irrational nonlinearities

    Sistemy i Sredstva Inform., 25:2 (2015),  3–19
  23. Analytical modeling of normal processes in stochastic systems with complex nonlinearities

    Inform. Primen., 8:3 (2014),  12–18
  24. Mathematical software tools for analytical modeling in stochastic systems with complex nonlinearities

    Sistemy i Sredstva Inform., 24:3 (2014),  4–17
  25. Distributions parametrical modeling software for integrodifferential stochastic systems

    Sistemy i Sredstva Inform., 24:1 (2014),  4–45
  26. Analysis and modeling methods and tools for integrated logistic support of stochastic systems

    Sistemy i Sredstva Inform., 22:2 (2012),  3–28
  27. Development of algorithmic support for the analysis of stochastic systems based on canonical expansions of random functions

    Avtomat. i Telemekh., 2011, no. 2,  195–206
  28. Experience in constructing astrometrical measurements-based models of earth pole fluctuations

    Avtomat. i Telemekh., 2010, no. 3,  87–97
  29. On-line information model building of the earth pole motion by linear and linearized filters

    Inform. Primen., 4:1 (2010),  2–11
  30. Conditionally optimal stochastic informational technologies for management control of complex dynamical systems

    Sistemy i Sredstva Inform., 2006, no. 16,  72–108
  31. Review of scientific works of academician V. S. Pugachev

    Avtomat. i Telemekh., 1998, no. 11,  8–21
  32. Mathematical Support for Designing of Conditionally Optimal Filters and Analysis of Processes in Discrete Stochastic Systems

    Avtomat. i Telemekh., 1992, no. 6,  78–85
  33. Software for the analysis of multidimensional nonlinear stochastic systems

    Avtomat. i Telemekh., 1991, no. 1,  87–97
  34. Determination of multidimensional distributions of a process, defined by a stochastic differential equation, by the ellipsoidal approximation method

    Dokl. Akad. Nauk SSSR, 320:2 (1991),  289–294
  35. A new approximate method for finding the one-dimensional distribution of a vector process defined by a stochastic differential equation

    Dokl. Akad. Nauk SSSR, 309:3 (1989),  541–544

  36. To the 70th jubilee of I. N. Sinitsyn, the Honored Scientist of the Russian Federation

    Sistemy i Sredstva Inform., 20:1 (2010),  165–169


© Steklov Math. Inst. of RAS, 2024