Granichin Oleg Nikolaevich

Publications in Math-Net.Ru

1. On stochastic optimization for smartphone CPU energy consumption decrease
   
   Informatics and Automation, 22:5 (2023),  1004–1033
2. The method of averaged models for discrete-time adaptive systems
   
   Avtomat. i Telemekh., 2019, no. 10,  3–36
3. Stochastic approximation algorithm with randomization at the input for unsupervised parameters estimation of Gaussian mixture model with sparse parameters
   
   Avtomat. i Telemekh., 2019, no. 8,  44–63
4. Cyclic stochastic approximation with disturbance on input in the parameter tracking problem based on a multiagent algorithm
   
   Avtomat. i Telemekh., 2018, no. 6,  69–86
5. Adapting wing elements (“feathers”) of an airplane in a turbulent flow with a multiagent protocol
   
   Avtomat. i Telemekh., 2017, no. 10,  168–188
6. Estimating the position of a moving object based on test disturbance of camera position
   
   Avtomat. i Telemekh., 2016, no. 2,  142–161
7. Stochastic approximation search algorithms with randomization at the input
   
   Avtomat. i Telemekh., 2015, no. 5,  43–59
8. The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance
   
   Avtomat. i Telemekh., 2012, no. 1,  24–35
9. A randomized algorithm for estimating the number of clusters
   
   Avtomat. i Telemekh., 2011, no. 4,  86–98
10. Randomization of data acquisition and $\ell_1$-optimization (recognition with compression)
    
    Avtomat. i Telemekh., 2010, no. 11,  3–28
11. Algorithm for stochastic approximation with trial input perturbation in the nonstationary problem of optimization
    
    Avtomat. i Telemekh., 2009, no. 11,  70–79
12. Random sampling algorithm in the image registration problem
    
    Tr. SPIIRAN, 9 (2009),  178–185
13. A randomized stochastic optimization algorithm: Its estimation accuracy
    
    Avtomat. i Telemekh., 2006, no. 4,  86–96
14. A randomized stochastic approximation algorithm for self-learning
    
    Avtomat. i Telemekh., 2005, no. 8,  52–63
15. Optimal Convergence Rate of the Randomized Algorithms of Stochastic Approximation in Arbitrary Noise
    
    Avtomat. i Telemekh., 2003, no. 2,  88–99
16. Nonminimax Filtering in Unknown Irregular Constrained Observation Noise
    
    Avtomat. i Telemekh., 2002, no. 9,  125–133
17. Randomized Algorithms for Stochastic Approximation under Arbitrary Disturbances
    
    Avtomat. i Telemekh., 2002, no. 2,  44–55
18. Estimating the Parameters of Linear Regression in an Arbitrary Noise
    
    Avtomat. i Telemekh., 2002, no. 1,  30–41
19. Designing the Discrete Suboptimal Controller of the Continuous-time Object in Nonregular Bounded Noise
    
    Avtomat. i Telemekh., 2001, no. 3,  86–94
20. A stochastic approximation procedure with disturbance at the input
    
    Avtomat. i Telemekh., 1992, no. 2,  97–104
21. Estimation of the Minimum Point of an Unknown Function Observed in the Presence of Dependent Noise
    
    Probl. Peredachi Inf., 28:2 (1992),  16–20
22. Construction of a suboptimal controller of a linear object with limited noise
    
    Avtomat. i Telemekh., 1990, no. 2,  59–62
23. Adaptive control with tentative signals in the feedback channel
    
    Avtomat. i Telemekh., 1986, no. 2,  100–112
24. Adaptation of wing's elements in turbulent flows by local voting protocol
    
    Avtomat. i Telemekh.,  0


25. 48th and 49th International Conferences “Decision and Control” (IEEE CDC/CCC 2009 and CDC 2010)
    
    Avtomat. i Telemekh., 2011, no. 12,  173–178
26. An optimal controller of a linear pjlant subjected to constrained noise
    
    Avtomat. i Telemekh., 1984, no. 5,  39–46