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Korepanov Èduard Rudol'fovich

Publications in Math-Net.Ru

  1. Nonstationary stochastic process modeling by canonical expansion and wavelet neutral network

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

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

    Avtomat. i Telemekh., 2020, no. 4,  37–51
  4. Methods of ellipsoidal filtration in nonlinear stochastic systems on manifolds

    Avtomat. i Telemekh., 2018, no. 1,  147–161
  5. To the reliability of an information-telecommunication system: an approach to recognition of reliable software characteristics

    Sistemy i Sredstva Inform., 28:1 (2018),  20–34
  6. Analytical synthesis of suboptimal filters by moments methods

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

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

    Inform. Primen., 10:2 (2016),  24–35
  9. Normal Pugachev conditionally-optimal filters and extrapolators for state linear stochastic systems

    Inform. Primen., 10:2 (2016),  14–23
  10. Symbolic analytical modeling of normal processes in stochastic systems with complex fraction order Bessel nonlinearities

    Sistemy i Sredstva Inform., 26:3 (2016),  26–47
  11. Mathematical software for suboptimal normal filtering in stochastic systems with complex fraction-rational nonlinearities

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

    Sistemy i Sredstva Inform., 26:2 (2016),  79–97
  13. Normal Pugachev filters for state linear autocorrelated stochastic systems

    Sistemy i Sredstva Inform., 26:2 (2016),  63–78
  14. 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
  15. Normal Pugachev filters for state linear stochastic systems

    Inform. Primen., 9:2 (2015),  30–38
  16. Modeling of normal processes in stochastic systems with complex transcendental nonlinearities

    Inform. Primen., 9:2 (2015),  23–29
  17. Stable linear conditionally optimal filters and extrapolators for stochastic systems with multiplicative noises

    Inform. Primen., 9:1 (2015),  70–75
  18. Analytical modeling of normal processes in stochastic systems with complex irrational nonlinearities

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

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

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

    Sistemy i Sredstva Inform., 25:2 (2015),  3–19
  22. Synthesis of stable linear Pugachev filters and extrapolators for stochastic systems with wide band multiplicative noises

    Sistemy i Sredstva Inform., 25:1 (2015),  108–126
  23. Mathematical software tools for analytical modeling in stochastic systems with complex nonlinearities

    Sistemy i Sredstva Inform., 24:3 (2014),  4–17
  24. Methods and tools for optimal planning of process parameters in aftersale service systems of high technology products

    Sistemy i Sredstva Inform., 24:2 (2014),  4–22
  25. Distributions parametrical modeling software for integrodifferential stochastic systems

    Sistemy i Sredstva Inform., 24:1 (2014),  4–45
  26. Some approaches to developing thin client technologies for secure information systems

    Sistemy i Sredstva Inform., 23:1 (2013),  105–112
  27. Analysis and modeling methods and tools for integrated logistic support of stochastic systems

    Sistemy i Sredstva Inform., 22:2 (2012),  3–28
  28. Development of software tools for analysis of nonlinear multichannel stochastic systems

    Sistemy i Sredstva Inform., 22:1 (2012),  3–21
  29. 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
  30. Stochastic informational technologies based on Pugachev filtering

    Inform. Primen., 5:2 (2011),  36–57
  31. Development of computer-aided statistical scientific support for high precision and with high availability systems

    Sistemy i Sredstva Inform., 21:1 (2011),  3–33
  32. Experience in constructing astrometrical measurements-based models of earth pole fluctuations

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

    Inform. Primen., 4:1 (2010),  2–11
  34. Методическое и программное обеспечение корреляционного анализа флуктуаций полюса Земли

    Sistemy i Sredstva Inform., 2008, no. special issue,  379–396
  35. Development problems of information technologies for analysis and synthesis of Pugachev filters

    Sistemy i Sredstva Inform., 2006, no. special issue,  179–200
  36. Conditionally optimal stochastic informational technologies for management control of complex dynamical systems

    Sistemy i Sredstva Inform., 2006, no. 16,  72–108
  37. Mathematical Support for Designing of Conditionally Optimal Filters and Analysis of Processes in Discrete Stochastic Systems

    Avtomat. i Telemekh., 1992, no. 6,  78–85
  38. Discrete conditionally optimal filters with memory

    Dokl. Akad. Nauk, 324:1 (1992),  35–38

  39. Стохастические системы и развитие организационно-технико-экономических систем (к восьмидесятилетию заслуженного деятеля науки Российской Федерации И. Н. Синицына)

    Sistemy i Sredstva Inform., 30:3 (2020),  172–195
  40. 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