Semenikhin Konstantin Vladimirovich

Publications in Math-Net.Ru

1. Nonlinear filtering method in the presence of unknown noise intensity
   
   Informatics and Automation, 24:6 (2025),  1544–1567
2. A multivariate Chebyshev bound of the selberg form
   
   Avtomat. i Telemekh., 2022, no. 8,  38–64
3. Minimax linear estimation with the probability criterion under unimodal noise and bounded parameters
   
   Avtomat. i Telemekh., 2020, no. 7,  14–33
4. Analysis and optimization of a controlled model for a closed queueing network
   
   Avtomat. i Telemekh., 2020, no. 3,  67–85
5. Two-sided probability bound for a symmetric unimodal random variable
   
   Avtomat. i Telemekh., 2019, no. 3,  103–122
6. Parametric optimization of packet transmission with resending packets mechanism
   
   Tr. SPIIRAN, 18:4 (2019),  809–830
7. Optimal channel choice for lossy data flow transmission
   
   Avtomat. i Telemekh., 2018, no. 1,  84–99
8. The conditionally minimax nonlinear filtering method and modern approaches to state estimation in nonlinear stochastic systems
   
   Avtomat. i Telemekh., 2018, no. 1,  3–17
9. Optimal control problem regularization for the Markov process with finite number of states and constraints
   
   Avtomat. i Telemekh., 2016, no. 9,  96–123
10. Methods for minimax estimation under elementwise covariance uncertainty
    
    Avtomat. i Telemekh., 2016, no. 5,  82–108
11. Minimax linear filtering of random sequences with uncertain covariance function
    
    Avtomat. i Telemekh., 2016, no. 2,  50–68
12. Filtering of the Markov jump process given the observations of multivariate point process
    
    Avtomat. i Telemekh., 2015, no. 2,  34–60
13. Minimax estimation methods under ellipsoidal constraints
    
    Avtomat. i Telemekh., 2013, no. 4,  129–151
14. Robust filtering of process in the stationary difference stochastic system
    
    Avtomat. i Telemekh., 2011, no. 2,  167–182
15. Methods to design optimal control of Markov process with finite state set in the presence of constraints
    
    Avtomat. i Telemekh., 2011, no. 2,  111–130
16. Minimax-statistical approach to increasing reliability of measurement information processing
    
    Avtomat. i Telemekh., 2010, no. 2,  76–91
17. Minimax nature of the linear estimates of the indefinite stochastic vector from the generalized probabilistic criteria
    
    Avtomat. i Telemekh., 2007, no. 11,  88–104
18. Minimax estimation by probabilistic criterion
    
    Avtomat. i Telemekh., 2007, no. 3,  66–82
19. The optimality of linear estimation algorithms in minimax identification
    
    Avtomat. i Telemekh., 2004, no. 3,  148–158
20. Minimax Optimization of Investment Portfolio by Quantile Criterion
    
    Avtomat. i Telemekh., 2003, no. 7,  117–133
21. Minimax Estimation in Singular Uncertain Stochastic Models
    
    Avtomat. i Telemekh., 2002, no. 9,  40–57
22. Minimax Quadratic Optimization with Applications to Investment Planning
    
    Avtomat. i Telemekh., 2001, no. 12,  55–73
23. Methods for the parametric identification of multidimensional linear models under conditions of a priori uncertainty
    
    Avtomat. i Telemekh., 2000, no. 5,  76–92
24. Minimax identification of generalized uncertain stochastic linear model
    
    Avtomat. i Telemekh., 1998, no. 11,  158–171
25. Optimal channel assignment in data transmission with losses
    
    Avtomat. i Telemekh.,  0