Sinitsyn Igor' Nikolaevich

Publications in Math-Net.Ru

1. Bayes criterion conditionally optimal filtering methods for observable implicit stochastic systems
   
   Inform. Primen., 19:3 (2025),  2–9
2. Complex statistical criterion conditionally optimal filtering methods for observable implicit stochastic systems
   
   Inform. Primen., 19:2 (2025),  27–34
3. Normal conditionally-optimal filtering methods for implicit stochastic systems
   
   Inform. Primen., 19:1 (2025),  44–51
4. Neural networks bayes synthesis of multidimensional linear stochastic system
   
   Sistemy i Sredstva Inform., 35:3 (2025),  33–53
5. Modeling algorithms for vector stochastic process by canonical expansions based on multilayer wavelet neural network
   
   Sistemy i Sredstva Inform., 35:2 (2025),  17–30
6. Normal suboptimal filtering methods in implicit observable Gaussian stochastic systems
   
   Sistemy i Sredstva Inform., 35:1 (2025),  41–58
7. Conditionally optimal filtering and extrapolation for differential Gaussian implicit stochastic systems at autocorrelated noise in observations
   
   Inform. Primen., 18:4 (2024),  19–25
8. Conditionally optimal filtering and extrapolation methods for observable implicit stochastic systems
   
   Inform. Primen., 18:4 (2024),  2–9
9. Conditionally optimal filtering in stochastic systems with random parameters and unsolved derivatives
   
   Inform. Primen., 18:3 (2024),  21–29
10. Statistical modeling of differential stochastic systems with unsolved derivatives
    
    Inform. Primen., 18:3 (2024),  12–20
11. Suboptimal filtering in stochastic systems with random parameters and unsolved derivatives
    
    Inform. Primen., 18:1 (2024),  2–10
12. Discrete conditionally-optimal estimation in observable implicit stochastic systems
    
    Sistemy i Sredstva Inform., 34:4 (2024),  16–30
13. 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
14. Modeling methods for implicit hereditary stochastic systems
    
    Sistemy i Sredstva Inform., 34:3 (2024),  67–86
15. Probabilistic and statistical modeling methods for implicit stochastic systems
    
    Sistemy i Sredstva Inform., 34:3 (2024),  48–66
16. Nonstationary stochastic process modeling by canonical expansion and wavelet neutral network
    
    Sistemy i Sredstva Inform., 34:2 (2024),  21–39
17. Conditionally-optimal filtration and control for stochastic systems with random parameters and unsolved derivatives
    
    Sistemy i Sredstva Inform., 34:2 (2024),  3–20
18. Analytical modeling of stochastic systems with random parameters and unsolved derivatives
    
    Sistemy i Sredstva Inform., 34:1 (2024),  4–22
19. Control of set of system parameter values by the ant colony method
    
    Avtomat. i Telemekh., 2023, no. 8,  153–168
20. Analytical modeling of distributions with invariant measure in stochastic systems with unsolved derivatives
    
    Inform. Primen., 17:1 (2023),  2–10
21. Joint filtration and recognition of normal proсesses in stochastic systems with unsolved derivatives
    
    Inform. Primen., 16:2 (2022),  85–93
22. Normalization of systems with stochastically unsolved derivatives
    
    Inform. Primen., 16:1 (2022),  32–38
23. Analytical modeling and estimation of nonstationary normal processors with unsolved derivatives
    
    Sistemy i Sredstva Inform., 32:2 (2022),  58–71
24. Normal suboptimal filtering for differential stochastic systems with unsolved derivatives
    
    Inform. Primen., 15:1 (2021),  3–10
25. Analytical modeling and filtering for integrodifferential systems with unsolved derivatives
    
    Sistemy i Sredstva Inform., 31:1 (2021),  37–56
26. Optimization of linear stochastic systems based on canonical wavelet expansions
    
    Avtomat. i Telemekh., 2020, no. 11,  136–154
27. Extending the theory of Liptser–Shiryaev filters
    
    Avtomat. i Telemekh., 2020, no. 4,  37–51
28. Filtering and extrapolation in migrational-populational stochastic systems
    
    Sistemy i Sredstva Inform., 30:1 (2020),  4–19
29. Interpolatonal analytical modeling in complex stochastic systems
    
    Inform. Primen., 13:1 (2019),  2–8
30. Conditionally optimal linear estimation of normal processes in Volterra stochastic systems
    
    Sistemy i Sredstva Inform., 29:3 (2019),  16–28
31. Methods of ellipsoidal filtration in nonlinear stochastic systems on manifolds
    
    Avtomat. i Telemekh., 2018, no. 1,  147–161
32. Method of interpolational analytical modeling of processes in stochastic systems
    
    Inform. Primen., 12:1 (2018),  55–61
33. Analytical modeling of distributions with invariant measure in Volterra stochastic systems
    
    Sistemy i Sredstva Inform., 28:3 (2018),  4–25
34. Analytical modeling of normal processes in Volterra stochastic systems
    
    Sistemy i Sredstva Inform., 28:2 (2018),  4–19
35. Analytical synthesis of suboptimal filters by moments methods
    
    Sistemy i Sredstva Inform., 28:1 (2018),  4–19
36. Modificated ellipsoidal conditionally optimal filters for nonlinear stochastic systems on manifolds
    
    Inform. Primen., 11:2 (2017),  101–111
37. Analytical modeling of wide band processes in stochastic systems with unsolved derivatives
    
    Inform. Primen., 11:1 (2017),  3–10
38. Analytical modeling of normal processes in stochastic systems with integral nonlinearities (III)
    
    Sistemy i Sredstva Inform., 27:4 (2017),  16–36
39. Analytical modeling of normal processes in stochastic systems with integral nonlinearities (II)
    
    Sistemy i Sredstva Inform., 27:3 (2017),  23–36
40. Analytical modeling of normal processes in stochastic systems with integral nonlinearities (I)
    
    Sistemy i Sredstva Inform., 27:2 (2017),  3–15
41. Parametric analytical modeling of wide band processes in stochastic systems with unsolved derivatives
    
    Sistemy i Sredstva Inform., 27:1 (2017),  20–45
42. Analytical modeling of normal processes in stochastic systems with elliptic nonlinearities
    
    Sistemy i Sredstva Inform., 27:1 (2017),  3–19
43. Analytical modeling of processes in stochastic systems with complex fractional order Bessel nonlinearities
    
    Inform. Primen., 10:3 (2016),  55–65
44. Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds
    
    Inform. Primen., 10:2 (2016),  24–35
45. Normal Pugachev conditionally-optimal filters and extrapolators for state linear stochastic systems
    
    Inform. Primen., 10:2 (2016),  14–23
46. Analytical modeling of distributions in stochastic systems on manifolds based on ellipsoidal approximation
    
    Inform. Primen., 10:1 (2016),  45–55
47. Orthogonal supoptimal filters for nonlinear stochastic systems on manifolds
    
    Inform. Primen., 10:1 (2016),  34–44
48. Symbolic analytical modeling of normal processes in stochastic systems with complex fraction order Bessel nonlinearities
    
    Sistemy i Sredstva Inform., 26:3 (2016),  26–47
49. Mathematical software for suboptimal normal filtering in stochastic systems with complex fraction-rational nonlinearities
    
    Sistemy i Sredstva Inform., 26:3 (2016),  4–25
50. Modified ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds
    
    Sistemy i Sredstva Inform., 26:2 (2016),  79–97
51. Normal Pugachev filters for state linear autocorrelated stochastic systems
    
    Sistemy i Sredstva Inform., 26:2 (2016),  63–78
52. 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
53. Normal and orthogonal suboptimal filters for nonlinear stochastic systems on manifolds
    
    Sistemy i Sredstva Inform., 26:1 (2016),  199–226
54. Analytical modeling of processes in dynamical systems with cylindric Bessel nonlinearities
    
    Inform. Primen., 9:4 (2015),  37–47
55. Analytical modeling in stochastic systems on manifolds based on orthogonal expansions
    
    Inform. Primen., 9:3 (2015),  17–24
56. Normal Pugachev filters for state linear stochastic systems
    
    Inform. Primen., 9:2 (2015),  30–38
57. Modeling of normal processes in stochastic systems with complex transcendental nonlinearities
    
    Inform. Primen., 9:2 (2015),  23–29
58. Stable linear conditionally optimal filters and extrapolators for stochastic systems with multiplicative noises
    
    Inform. Primen., 9:1 (2015),  70–75
59. Analytical modeling of normal processes in stochastic systems with complex irrational nonlinearities
    
    Inform. Primen., 9:1 (2015),  2–8
60. Analytical modeling of normal processes in stochastic systems with complex fraction-rational nonlinearities
    
    Sistemy i Sredstva Inform., 25:4 (2015),  4–18
61. Moments methods for analytical modeling of stochastic systems on manifolds
    
    Sistemy i Sredstva Inform., 25:3 (2015),  24–43
62. Applications of orthogonal expansions for analytical modeling of multidimensional distributions in stochastic systems on manifold
    
    Sistemy i Sredstva Inform., 25:3 (2015),  4–23
63. Software for syntesis of discrete Pugachev filters for normal processes in hereditary stochastic systems
    
    Sistemy i Sredstva Inform., 25:2 (2015),  20–59
64. Mathematical software for normal processes modeling in stochastic systems with complex irrational nonlinearities
    
    Sistemy i Sredstva Inform., 25:2 (2015),  3–19
65. 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
66. Analytical modeling of normal processes in stochastic systems with complex nonlinearities
    
    Inform. Primen., 8:3 (2014),  12–18
67. Analytical modeling of distributions with invariant measure in non-Gaussian differential and reducable to differential hereditary stochastic systems
    
    Inform. Primen., 8:2 (2014),  2–14
68. Analysis and modeling of distributions in hereditary stochastic systems
    
    Inform. Primen., 8:1 (2014),  2–11
69. Mathematical software tools for analytical modeling in stochastic systems with complex nonlinearities
    
    Sistemy i Sredstva Inform., 24:3 (2014),  4–17
70. 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
71. Distributions parametrical modeling software for integrodifferential stochastic systems
    
    Sistemy i Sredstva Inform., 24:1 (2014),  4–45
72. Parametrical statistical and analytical modeling of distributions in nonlinear stochastic systems on manifolds
    
    Inform. Primen., 7:2 (2013),  4–16
73. Analytical modeling of invariant measure distributions in stochastic systems with discontinuous characteristics
    
    Inform. Primen., 7:1 (2013),  3–11
74. Nonlinear correlational modeling and aftersale product service systems reliability analysis
    
    Sistemy i Sredstva Inform., 23:1 (2013),  80–104
75. Analytical modeling invariant measure distributions in stochastic systems with autocorrelated noises
    
    Inform. Primen., 6:4 (2012),  4–8
76. Mathematical support for nonlinear multichannel circular stochastic systems analysis based on distribution parametrization
    
    Inform. Primen., 6:1 (2012),  12–18
77. Analysis and modeling methods and tools for integrated logistic support of stochastic systems
    
    Sistemy i Sredstva Inform., 22:2 (2012),  3–28
78. Development of software tools for analysis of nonlinear multichannel stochastic systems
    
    Sistemy i Sredstva Inform., 22:1 (2012),  3–21
79. 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
80. Stochastic informational technologies for nonlinear circular stochastic systems analysis
    
    Inform. Primen., 5:4 (2011),  2–5
81. Informationalmodels for the Earth irregular rotation
    
    Inform. Primen., 5:2 (2011),  17–35
82. Theory of complex stochastic systems
    
    Inform. Primen., 5:2 (2011),  4–16
83. Development of computer-aided statistical scientific support for high precision and with high availability systems
    
    Sistemy i Sredstva Inform., 21:1 (2011),  3–33
84. Experience in constructing astrometrical measurements-based models of earth pole fluctuations
    
    Avtomat. i Telemekh., 2010, no. 3,  87–97
85. On-line information model building of the earth pole motion by linear and linearized filters
    
    Inform. Primen., 4:1 (2010),  2–11
86. Probabilistic methods of information model building for the earth rotation irregularity
    
    Inform. Primen., 3:4 (2009),  2–11
87. Methods for information model building for the Earth tidal hereditary irregular rotation
    
    Inform. Primen., 3:1 (2009),  2–7
88. Quasi-linear methods for the information model building for the Earth tidal irregular rotation
    
    Inform. Primen., 2:1 (2008),  35–43
89. Методическое и программное обеспечение корреляционного анализа флуктуаций полюса Земли
    
    Sistemy i Sredstva Inform., 2008, no. special issue,  379–396
90. Correlational methods for analytical informational models of the Earth pole fluctuations design based on a priori data
    
    Inform. Primen., 1:2 (2007),  2–14
91. Development of Pugachev filtering for stochastic systems
    
    Inform. Primen., 1:1 (2007),  3–13
92. Stochastic informational models of the Earth pole movement non-Gaussian fluctuation
    
    Sistemy i Sredstva Inform., 2006, no. special issue,  157–178
93. About shortened moment equations of statistical dynamics of the Earth pole movement
    
    Sistemy i Sredstva Inform., 2006, no. special issue,  24–46
94. Conditionally optimal stochastic informational technologies for management control of complex dynamical systems
    
    Sistemy i Sredstva Inform., 2006, no. 16,  72–108
95. The normal approximation method in the problems of adaptive discrete filtering and recognition
    
    Avtomat. i Telemekh., 1998, no. 11,  21–31
96. Review of scientific works of academician V. S. Pugachev
    
    Avtomat. i Telemekh., 1998, no. 11,  8–21
97. Brief essay on the scientific, pedagogical, and scientific- social activity of academician V. S. Pugachev
    
    Avtomat. i Telemekh., 1998, no. 11,  4–8
98. Modern problems in optimization of stochastic systems
    
    Avtomat. i Telemekh., 1998, no. 11,  3
99. Recurrent filtering in discrete nonlinear systems with unknown parameters
    
    Avtomat. i Telemekh., 1998, no. 1,  44–53
100. Conditionally Optimal Filtering and Signal Recognition in Stochastic Differential Systems
     
     Avtomat. i Telemekh., 1997, no. 3,  124–130
101. Conditionally Optimal Interpolation with Fixed Process Point in Stochastic Differential Systems
     
     Avtomat. i Telemekh., 1997, no. 2,  88–100
102. Steady fluctuations of balanced gyrostats
     
     Dokl. Akad. Nauk, 354:2 (1997),  194–197
103. Stationary fluctuations of a rigid body with a fixed point in non-gaussian random media
     
     Dokl. Akad. Nauk, 348:3 (1996),  327–330
104. Stochastic differential equations in a Hilbert space for some random functions of a vector argument
     
     Dokl. Akad. Nauk, 346:3 (1996),  299–302
105. Stochastic differential equations with a randomly changing structure in Banach spaces
     
     Vestnik Moskov. Univ. Ser. 1. Mat. Mekh., 1996, no. 6,  86–89
106. Conditionally optimal interpolation of random sequences defined by difference equations
     
     Dokl. Akad. Nauk, 336:4 (1994),  453–456
107. Conditionally optimal filtering of processes in stochastic differential systems according to Bayesian criteria
     
     Dokl. Akad. Nauk, 330:4 (1993),  437–440
108. Finite-dimensional distributions with an invariant measure in stochastic mechanical systems
     
     Dokl. Akad. Nauk, 328:3 (1993),  308–310
109. Mathematical Support for Designing of Conditionally Optimal Filters and Analysis of Processes in Discrete Stochastic Systems
     
     Avtomat. i Telemekh., 1992, no. 6,  78–85
110. Conditionally optimal filtering of processes in stochastic differential systems in the case of autocorrelated noise in observations by complex statistical criteria
     
     Dokl. Akad. Nauk, 324:1 (1992),  50–55
111. Distributions with invariant measure in stochastic mechanical systems
     
     Dokl. Akad. Nauk, 322:4 (1992),  662–667
112. Software for the analysis of multidimensional nonlinear stochastic systems
     
     Avtomat. i Telemekh., 1991, no. 1,  87–97
113. Steady fluctuations of a heavy rigid body with a fixed point in a random environment
     
     Dokl. Akad. Nauk SSSR, 320:6 (1991),  1337–1339
114. State and parameter estimation in discrete stochastic systems by complex statistical criteria
     
     Dokl. Akad. Nauk SSSR, 320:4 (1991),  818–820
115. Conditionally optimal filtering of processes in stochastic differential systems by complex statistical criteria
     
     Dokl. Akad. Nauk SSSR, 320:4 (1991),  814–817
116. Real time analysis and conditionally optimal filtering of processes in nonlinear stochastic systems
     
     Avtomat. i Telemekh., 1987, no. 12,  3–24
117. A software method of normal approximation in analysis of nonlinear stochastic systems
     
     Avtomat. i Telemekh., 1987, no. 2,  62–68
118. Conditionally optimal discrete filtering of processes in continuous-discrete stochastic systems
     
     Dokl. Akad. Nauk SSSR, 289:2 (1986),  297–301


119. Modern problems of optimization theory stochastic systems
     
     Avtomat. i Telemekh., 2020, no. 11,  3–10
120. 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
121. Preface
     
     Inform. Primen., 5:2 (2011),  2
122. Academician V. S. Pugachev
     
     Sistemy i Sredstva Inform., 21:1 (2011),  161–165
123. О научной и педагогической деятельности профессора А. И. Мартыненко
     
     Sistemy i Sredstva Inform., 2008, no. special issue,  5–9
124. Avenir Arkad'evich Voronov
     
     Differ. Uravn., 29:1 (1993),  177–178