Kulchitskii Oleg Yur'evich

Publications in Math-Net.Ru

1. Methods for the adaptive control of a network in the problem of computing the integral characteristics of complex systems
   
   Avtomat. i Telemekh., 2000, no. 4,  61–76
2. Nonasymptotic Estimates of Convergence Rates of Trajectories of Stochastic Approximation Algorithms
   
   Avtomat. i Telemekh., 1997, no. 11,  144–152
3. The unified Taylor–Ito Expansion
   
   Zap. Nauchn. Sem. POMI, 244 (1997),  186–204
4. Random processes with strong average condition
   
   Zap. Nauchn. Sem. POMI, 228 (1996),  209–219
5. Numerical-statistical methods for finding a solution to the Dirichlet problem at separate points
   
   Differ. Uravn., 31:5 (1995),  882–884
6. Identification of linear dynamical stochastic systems with continuous time
   
   Avtomat. i Telemekh., 1990, no. 8,  106–118
7. A method for numerical solution of integral equations on a random grid
   
   Differ. Uravn., 26:2 (1990),  333–341
8. Adaptive control of linear dynamic processes by a modified method of least squares
   
   Avtomat. i Telemekh., 1987, no. 1,  89–105
9. Adaptive algorithm of Monte Carlo type for calculating the integral characteristics of complex systems
   
   Avtomat. i Telemekh., 1986, no. 6,  88–95
10. Эффект ускоренной сходимости алгоритмов стохастической аппроксимации с коррелированными возмущениями
    
    Avtomat. i Telemekh., 1986, no. 3,  94–99
11. Method of Investigating the Convergence of Adaptive Filtering Algorithms Utilizing Stochastic Lyapunov Functions
    
    Probl. Peredachi Inf., 21:4 (1985),  49–63
12. Stochastic approximation algorithms in the adaptive loop of a sampled data stochastic linear dynamic system. II.
    
    Avtomat. i Telemekh., 1984, no. 3,  104–113
13. Approximation of solution of essentially monstationary stochastic extremal problems in continuous time. II. Convergence of algorithms
    
    Avtomat. i Telemekh., 1983, no. 1,  101–112
14. Approximating solutions of essentially nonstationary stochastic extremal problems in continuous time
    
    Avtomat. i Telemekh., 1982, no. 11,  73–80
15. An economical algorithm of adaptive control of a multi-dimensional static process
    
    Avtomat. i Telemekh., 1982, no. 9,  70–76
16. Non-Markov algorithms for statistical optimization with continuous time. II
    
    Avtomat. i Telemekh., 1978, no. 6,  56–66
17. Non-Markov algorithms for statistical optimization with continuous time. I
    
    Avtomat. i Telemekh., 1978, no. 5,  73–86
18. Applicability of stochastic approximation-like methods to adaptive stabilization of a discrete linear dynamic system
    
    Avtomat. i Telemekh., 1976, no. 9,  113–123
19. The problem of finding the initial approximation for Newton's method
    
    Zh. Vychisl. Mat. Mat. Fiz., 14:4 (1974),  1016–1018


20. Workshop on control theory in the Leningrad polytechnical institute named after M.I. Kalinin in 1981
    
    Avtomat. i Telemekh., 1983, no. 11,  172–175
21. Stochastic approximation algorithms in the adaptation loop of a digital stochastic linear dynamic system. I
    
    Avtomat. i Telemekh., 1983, no. 9,  102–118
22. Workshop on control theory under the Leningrad Polytechnic Institute in 1980
    
    Avtomat. i Telemekh., 1982, no. 9,  168–171