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Publications in Math-Net.Ru
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Adaptive auxiliary loop for output-based compensation of perturbations in linear systems
Avtomat. i Telemekh., 2024, no. 9, 3–40
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Approximation-based approach to adaptive control of linear time-varying systems
Avtomat. i Telemekh., 2024, no. 5, 86–111
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Stability of numerical method of implicit adaptation of transient heat conduction model to rigid body thermophysical parameters
UBS, 107 (2024), 66–87
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Exponentially stable adaptive control. Part iii. Time-varying plants
Avtomat. i Telemekh., 2023, no. 11, 147–168
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Adaptive observer of state and disturbances for linear overparameterized systems
Avtomat. i Telemekh., 2023, no. 11, 115–146
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Exponentially stable adaptive control. Part II. Switched systems
Avtomat. i Telemekh., 2023, no. 3, 65–105
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Relaxation of conditions for convergence of dynamic regressor extension and mixing procedure
Avtomat. i Telemekh., 2023, no. 1, 23–62
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Algorithmic stability and complexity of implicit adaptation of nonstationary thermal conductivity mesh model to heated substance
UBS, 101 (2023), 39–63
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Constructive algorithm to vectorize $P\otimes P$ product for symmetric matrix $P$
Zh. Vychisl. Mat. Mat. Fiz., 63:9 (2023), 1415–1427
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Exponentially stable adaptive control. Part I. Time-invariant plants
Avtomat. i Telemekh., 2022, no. 4, 62–99
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Normalization of regressor excitation in the dynamic extension and mixing procedure
Avtomat. i Telemekh., 2022, no. 1, 22–39
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Implicit adaptation of mesh model of transient heat conduction problem
UBS, 100 (2022), 78–106
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Comparison of finite difference and data-based models application to solve problem of steel billets temperature prediction
UBS, 95 (2022), 79–100
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Identification of steel billets marking at rolling shop no. 1 of JSC "A. A. Ugarov Oskol electrometallurgical plant" using neural networks
UBS, 95 (2022), 62–78
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Procedure of identification of piecewise-constant unknown parameters with improved convergence
UBS, 95 (2022), 6–32
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I-DREM: relaxing the square integrability condition
Avtomat. i Telemekh., 2021, no. 7, 147–165
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Adaptive control system with a variable adjustment law gain based on the recursive least squares method
Avtomat. i Telemekh., 2021, no. 4, 77–95
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Adaptive neural-network-based control of nonlinear underactuated plants: an example of a two-wheeled balancing robot
Probl. Upr., 2021, no. 5, 34–47
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Control quality improvement of dc motor on basis of its linearization and compensation of unmodeled dynamics
UBS, 86 (2020), 55–97
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Adaptive neural network tuner of pid-controller for heating furnaces control
Probl. Upr., 2019, no. 2, 60–69
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On efficiency of each of pi-controller parameters adjustment with neural tuner to reject dusturbances acting on heating furnaces
UBS, 78 (2019), 71–105
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On development of neural network learning rate calculation method to adjust linear controllers online solving nonlinear plant control problem
UBS, 72 (2018), 52–107
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PI-controller neural tuner appliance to reject disturbances acting on plants of different dynamics
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2017, no. 4, 83–94
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Neural network structure selection method to solve linear controllers parameters adjustment problem
UBS, 62 (2016), 75–123
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Applying neural network-based tuner to optimize parameters of PI-controller for heating furnace functioning in different modes
UBS, 56 (2015), 143–175
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