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Publications in Math-Net.Ru
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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
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Nonstationary stochastic process modeling by canonical expansion and wavelet neutral network
Sistemy i Sredstva Inform., 34:2 (2024), 21–39
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Optimization of linear stochastic systems based on canonical wavelet expansions
Avtomat. i Telemekh., 2020, no. 11, 136–154
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Extending the theory of Liptser–Shiryaev filters
Avtomat. i Telemekh., 2020, no. 4, 37–51
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Filtering and extrapolation in migrational-populational stochastic systems
Sistemy i Sredstva Inform., 30:1 (2020), 4–19
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Conditionally optimal linear estimation of normal processes in Volterra stochastic systems
Sistemy i Sredstva Inform., 29:3 (2019), 16–28
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Analytical modeling of processes in Volterra stochastic systems by the canonical expansions method
Sistemy i Sredstva Inform., 29:1 (2019), 109–127
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Methods of ellipsoidal filtration in nonlinear stochastic systems on manifolds
Avtomat. i Telemekh., 2018, no. 1, 147–161
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Analytical modeling of distributions with invariant measure in Volterra stochastic systems
Sistemy i Sredstva Inform., 28:3 (2018), 4–25
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Analytical modeling of normal processes in Volterra stochastic systems
Sistemy i Sredstva Inform., 28:2 (2018), 4–19
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Analytical synthesis of suboptimal filters by moments methods
Sistemy i Sredstva Inform., 28:1 (2018), 4–19
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Modificated ellipsoidal conditionally optimal filters for nonlinear stochastic systems on manifolds
Inform. Primen., 11:2 (2017), 101–111
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Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds
Inform. Primen., 10:2 (2016), 24–35
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Analytical modeling of distributions in stochastic systems on manifolds based on ellipsoidal approximation
Inform. Primen., 10:1 (2016), 45–55
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Mathematical software for suboptimal normal filtering in stochastic systems with complex fraction-rational nonlinearities
Sistemy i Sredstva Inform., 26:3 (2016), 4–25
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Modified ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds
Sistemy i Sredstva Inform., 26:2 (2016), 79–97
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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
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Modeling of normal processes in stochastic systems with complex transcendental nonlinearities
Inform. Primen., 9:2 (2015), 23–29
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Analytical modeling of normal processes in stochastic systems with complex irrational nonlinearities
Inform. Primen., 9:1 (2015), 2–8
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Analytical modeling of normal processes in stochastic systems with complex fraction-rational nonlinearities
Sistemy i Sredstva Inform., 25:4 (2015), 4–18
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Software for syntesis of discrete Pugachev filters for normal processes in hereditary stochastic systems
Sistemy i Sredstva Inform., 25:2 (2015), 20–59
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Mathematical software for normal processes modeling in stochastic systems with complex irrational nonlinearities
Sistemy i Sredstva Inform., 25:2 (2015), 3–19
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Analytical modeling of normal processes in stochastic systems with complex nonlinearities
Inform. Primen., 8:3 (2014), 12–18
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Mathematical software tools for analytical modeling in stochastic systems with complex nonlinearities
Sistemy i Sredstva Inform., 24:3 (2014), 4–17
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Distributions parametrical modeling software for integrodifferential stochastic systems
Sistemy i Sredstva Inform., 24:1 (2014), 4–45
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Analysis and modeling methods and tools for integrated logistic support of stochastic systems
Sistemy i Sredstva Inform., 22:2 (2012), 3–28
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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
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Experience in constructing astrometrical measurements-based models of earth pole fluctuations
Avtomat. i Telemekh., 2010, no. 3, 87–97
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On-line information model building of the earth pole motion by linear and linearized filters
Inform. Primen., 4:1 (2010), 2–11
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Conditionally optimal stochastic informational technologies for management control of complex dynamical systems
Sistemy i Sredstva Inform., 2006, no. 16, 72–108
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Review of scientific works of academician V. S. Pugachev
Avtomat. i Telemekh., 1998, no. 11, 8–21
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Mathematical Support for Designing of Conditionally Optimal Filters and Analysis of Processes in Discrete
Stochastic Systems
Avtomat. i Telemekh., 1992, no. 6, 78–85
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Software for the analysis of multidimensional nonlinear stochastic systems
Avtomat. i Telemekh., 1991, no. 1, 87–97
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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
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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
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To the 70th jubilee of I. N. Sinitsyn, the Honored Scientist of the Russian Federation
Sistemy i Sredstva Inform., 20:1 (2010), 165–169
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