Poznyak Alexander Semionovich

Publications in Math-Net.Ru

1. Non-quadratic proxy functions in mirror descent method applied to designing of robust controllers for nonlinear dynamic systems with uncertainty
   
   Zh. Vychisl. Mat. Mat. Fiz., 64:4 (2024),  820–832
2. Nonlinear parametric estimation of Hamiltonian systems: identification as stabilization
   
   Avtomat. i Telemekh., 2020, no. 9,  62–80
3. Robust identification under correlated and non-Gaussian noises: WMLLM procedure
   
   Avtomat. i Telemekh., 2019, no. 9,  91–111
4. Adaptive sliding-mode controller based on the “Super-Twist” state observer for control of the Stewart platform
   
   Avtomat. i Telemekh., 2017, no. 7,  57–75
5. Robust feedback design for stabilization of nonlinear systems with sampled-data and quantized output: atractive ellipsoid method
   
   Avtomat. i Telemekh., 2015, no. 5,  130–144
6. Method of Lyapunov functions for systems with higher-order sliding modes
   
   Avtomat. i Telemekh., 2011, no. 5,  47–68
7. Dynamic neural observers and their application for identification and purification of water by ozone
   
   Avtomat. i Telemekh., 2006, no. 6,  61–74
8. Robust Control of Nonstationary Infinite-Dimensional Plants
   
   Avtomat. i Telemekh., 1997, no. 10,  134–153
9. Convergence of algorithms for estimating the nonstationary parameters of regression-autoregression plants under noise of moving averages type
   
   Avtomat. i Telemekh., 1993, no. 8,  90–108
10. Sensitivity of $H_\infty$-functionals to internal disturbances in linear control systems
    
    Avtomat. i Telemekh., 1993, no. 4,  128–136
11. Analysis of generalized accelerated identification algorithms
    
    Avtomat. i Telemekh., 1993, no. 2,  157–170
12. Recurrent estimation of the parameters of autoregression-exogenous input models with noise described by autoregression-moving average processes
    
    Avtomat. i Telemekh., 1992, no. 10,  80–88
13. Asymptotic normality and the rate of convergence of recursive stochastic processes with a nonlinear residual transformation
    
    Avtomat. i Telemekh., 1992, no. 8,  103–111
14. Asymptotic normality and an estimate for the rate of convergence of algorithms for the identification of nonstationary objects
    
    Avtomat. i Telemekh., 1992, no. 7,  44–55
15. Design of robust stabilizers with real coefficients by the Nevanlinna–Pick method
    
    Avtomat. i Telemekh., 1992, no. 4,  23–33
16. A new form of the strong law of large numbers for dependent sequences and its application in the analysis of identification algorithms
    
    Dokl. Akad. Nauk, 323:4 (1992),  645–648
17. On extension of nonlinear residual transformation class for recursive algorithms of parametric estimation
    
    Avtomat. i Telemekh., 1990, no. 10,  135–141
18. Strong consistency of the extended least squares method with nonlinear error transformation
    
    Avtomat. i Telemekh., 1990, no. 8,  119–128
19. Strong consistency of nonlinear recursive algorithms of estimation of the parameters of linear difference equations
    
    Avtomat. i Telemekh., 1990, no. 6,  90–101
20. On simultaneous evaluation of skipped observations and of parameters of linear processes
    
    Avtomat. i Telemekh., 1989, no. 1,  114–121
21. A generalized method of instrumental variables in problems of the identification of linear objects
    
    Dokl. Akad. Nauk SSSR, 306:5 (1989),  1068–1072
22. Recurrent algorithms of search optimization in the presence of relative noise. II. Optimal search procedures
    
    Avtomat. i Telemekh., 1987, no. 10,  89–96
23. Recurrent algorithms of search optimization in the presence of relative noise. I. Utmost potential
    
    Avtomat. i Telemekh., 1987, no. 9,  95–109
24. Optimization algorithms optimal on a class in the presence of correlated noise
    
    Zh. Vychisl. Mat. Mat. Fiz., 24:6 (1984),  806–822
25. On convergence of Lewis and Varshavskiy-Vorontsova automaton algorithms
    
    Avtomat. i Telemekh., 1983, no. 9,  165–169
26. On convergence of the Narendra-Shapiro automaton algorithm
    
    Avtomat. i Telemekh., 1983, no. 2,  171–174
27. Search algorithms for criterial optimization under conditions of uncertainty
    
    Dokl. Akad. Nauk SSSR, 270:3 (1983),  565–568
28. Locally optimal control of plants with unknown parameters
    
    Avtomat. i Telemekh., 1982, no. 10,  80–93
29. On convergence of quasioptimal identification algorithms
    
    Avtomat. i Telemekh., 1981, no. 7,  120–128
30. Control of collective supplies with incomplete information
    
    Avtomat. i Telemekh., 1981, no. 1,  53–64
31. Optimal search algorithms for stochastic optimization
    
    Dokl. Akad. Nauk SSSR, 260:3 (1981),  550–553
32. Optimal and robust optimization algorithms in the presence of correlated noise
    
    Dokl. Akad. Nauk SSSR, 258:6 (1981),  1330–1333
33. On convergence of stochastic approximation algorithms in parameter identification of dynamic systems
    
    Avtomat. i Telemekh., 1979, no. 8,  186–190
34. «Local» optimization algorithms in problems of asymptotic control of nonlinear dynamic plants
    
    Avtomat. i Telemekh., 1977, no. 11,  73–88
35. On a stochastic zero sum game of two automata
    
    Avtomat. i Telemekh., 1977, no. 1,  53–61
36. The method of variable basis in adaptive control of linear systems
    
    Avtomat. i Telemekh., 1976, no. 10,  78–93
37. Adaptive linear sequential machines
    
    Avtomat. i Telemekh., 1975, no. 12,  114–126
38. Investigation of the convergence of algorithms for the functioning of learning stochastic automata
    
    Avtomat. i Telemekh., 1975, no. 1,  88–103


39. Using the method of invariant ellipsoids for linear robust output stabilization of spacecraft
    
    Avtomat. i Telemekh., 2011, no. 3,  81–97
40. Asymptotical properties of stochastic approximation procedures with dependent noises
    
    Avtomat. i Telemekh., 1984, no. 12,  78–93