Anton I. Glushchenko
Orcid: 0000-0002-6948-9807Affiliations:
- Branch of National Research Technological University "MISIS", Ugarov Stary Oskol Technological Institute, Russia
According to our database1,
Anton I. Glushchenko authored at least 52 papers
between 2014 and 2026.
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Bibliography
2026
Estimation of Unknown Parameters in Presence of Perturbations and Noises with Application to GPEBO Design.
CoRR, April, 2026
Adaptive observer with high-gain disturbance estimator for linear systems with overparameterization.
Int. J. Control, February, 2026
Eur. J. Control, 2026
2025
Instrumental Variables Based DREM for Online Asymptotic Identification of Perturbed Linear Systems.
IEEE Trans. Autom. Control., February, 2025
Exact Asymptotic Parameter Estimation of Perturbed Dynamically Positioned Surface Vehicle using Instrumental Variables based DREM.
Proceedings of the 33rd Mediterranean Conference on Control and Automation, 2025
Adaptive Reconstruction of Nonlinear Systems States via DREM with Perturbation Annihilation.
Proceedings of the 2025 European Control Conference, 2025
2024
Adaptive Auxiliary Loop for Output-Based Compensation of Perturbations in Linear Systems.
Autom. Remote. Control., September, 2024
Exponentially Stable Adaptive Observation for Systems Parameterized by Unknown Physical Parameters.
IEEE Trans. Autom. Control., August, 2024
Composite Adaptive Disturbance Rejection in Robotics via Instrumental Variables based DREM.
CoRR, 2024
Monotonous parameter estimation of one class of nonlinearly parameterized regressions without overparameterization.
Autom., 2024
Autom. Remote. Control., 2024
Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024
Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024
Parameter Estimation-Based States Reconstruction of Uncertain Linear Systems with Overparameterization and Unknown Additive Perturbations.
Proceedings of the American Control Conference, 2024
2023
Autom. Remote. Control., November, 2023
Autom. Remote. Control., November, 2023
Regression Filtration With Resetting to Provide Exponential Convergence of MRAC for Plants With Jump Change of Unknown Parameters.
IEEE Trans. Autom. Control., August, 2023
Autom. Remote. Control., March, 2023
Quadrotor Trajectory Tracking Using Model Reference Adaptive Control, Neural Network-Based Parameter Uncertainty Compensator, and Different Plant Parameterizations.
Comput., January, 2023
Relaxation of Conditions for Convergence of Dynamic Regressor Extension and Mixing Procedure.
Autom. Remote. Control., January, 2023
Exact asymptotic estimation of unknown parameters of regression equations with additive perturbations.
CoRR, 2023
Sensorless Adaptive Vibration Suppression in Two-Mass Systems via Joint Estimation of Controller Parameters and System States.
CoRR, 2023
Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparametrization.
CoRR, 2023
Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparametrization.
CoRR, 2023
Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparameterization.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
Exponentially Stable MRAC of MIMO Switched Systems with Matched Uncertainty and Unknown Control Matrix.
Proceedings of the 9th International Conference on Control, 2023
2022
Exponentially Convergent Direct Adaptive Pole Placement Control of Plants With Unmatched Uncertainty Under FE Condition.
IEEE Control. Syst. Lett., 2022
Exponentially Stable Adaptive Observation without System Representation in Observable Form.
CoRR, 2022
Exponentially Stable MRAC of MIMO Switched Systems with Matched Uncertainty and Completely Unknown Control Matrix.
CoRR, 2022
Piecewise Constant Parameters Identification Under Finite Excitation Condition: Time Alertness Preservation, Exponential Convergence, Robustness and Applications.
CoRR, 2022
CoRR, 2022
Autom. Remote. Control., 2022
Autom. Remote. Control., 2022
2021
Relaxation of condition for convergence of dynamic regressor extension and mixing procedure.
CoRR, 2021
Exponential Convergence of Piecewise-Constant Parameters Identification under Finite Excitation Condition.
CoRR, 2021
Normalization of regressor excitation as a part of dynamic regressor extension and mixing procedure.
CoRR, 2021
Adaptive Control System with a Variable Adjustment Law Gain Based on the Recursive Least Squares Method.
Autom. Remote. Control., 2021
I-DREM MRAC with Time-Varying Adaptation Rate & No A Priori Knowledge of Control Input Matrix Sign to Relax PE Condition.
Proceedings of the 2021 European Control Conference, 2021
2020
Robust method to provide exponential convergence of model parameters solving LTI plant identification problem.
CoRR, 2020
Method of Real Time Calculation of Learning Rate Value to Improve Convergence of Neural Network Training.
Proceedings of the Artificial Intelligence and Soft Computing, 2020
Method Development of Speed Control of DC Drive on Basis of Its Feedback Linearization.
Proceedings of the 18th European Control Conference, 2020
2018
On Speed Controller Neural Tuner Application to Compensate PMSM Mechanics Inertia Moment Drift.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
2014
On estimating the efficiency of a neural optimizer for the parameters of a PID controller for heating objects control.
Autom. Remote. Control., 2014