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Your search keyword '"Poznyak, A."' showing total 42 results

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42 results on '"Poznyak, A."'

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1. Tridimensional autonomous motion robust control of submersible ship based on averaged sub-gradient integral sliding mode approach

3. DNN-state identification of 2D distributed parameter systems

4. Tridimensional autonomous motion robust control of submersible ship based on averaged sub-gradient integral sliding mode approach.

5. Robust stochastic tracking for discrete-time models: designing of ellipsoid where random trajectories converge with probability one

6. Time-varying matrix estimation in stochastic continuous-time models under coloured noise using LSM with forgetting factor

7. Sliding modes time varying matrix identification for stochastic system

8. Sliding mode parameter identification of systems with measurement noise

9. Hierarchical second-order sliding-mode observer for linear time invariant systems with unknown inputs

10. Quasi-equilibrium in LQ differential games with bounded uncertain disturbances: robust and adaptive strategies with pre-identification via sliding mode technique

11. Bush‐Mosteller learning for a zero-sum repeated game with random pay-offs

12. Robustness property of high-gain observers for closed-loop nonlinear systems: Theoretical study and robotics control application

13. Matrix forgetting factor with adaptation

14. Matrix forgetting factor

15. Structure adaptation of stochastic neural nets using learning automata technique

16. Learning automata with continuous input and changing number of actions

17. Adaptive selection of the optimal order of linear regression models using learning automata

18. Analysis of the behaviour of multilevel hierarchical systems of learning automata and their application for multimodal functions optimization

19. Learning automata with continuous inputs and their application for multimodal functions optimization

40. Adaptive locally optimal control

41. Estimating the parameters of autoregression processes by the method of least squares

42. Gradient procedures for stochastic approximation with dependent noise and their asymptotic behaviour

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