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20202023
most citedRobust method to provide exponential convergence of model parameters solving LTI plant identification problem

3 citations · 3 across the 3 of their papers we have counts for

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6 papers · 1 filter

eess.SY2023

Parameter Estimation-Based States Reconstruction of Uncertain Linear Systems with Overparameterization and Unknown Additive Perturbations

Anton Glushchenko, Konstantin Lastochkin

The problem of state reconstruction is considered for uncertain linear time-invariant systems with overparameterization, arbitrary state-space matrices and unknown additive perturb…

eess.SY2022

Exponentially Stable Adaptive Control Under Semi-PE Condition

Anton Glushchenko, Konstantin Lastochkin

A novel method of exponentially stable adaptive control to compensate for matched parametric uncertainty under a mild condition of semi-persistent excitation (s-PE) of a regressor…

eess.SY2022

Exponentially stable adaptive control. Part I. Time-invariant plants

Anton Glushchenko, Kostantin Lastochkin, Vladislav Petrov

In this research we consider linear time-invariant plants and assume that the regressor finite excitation requirement is met. In such case, a new law to adjust the controller param…

eess.SY2021

Exponential Convergence of Piecewise-Constant Parameters Identification under Finite Excitation Condition

Anton Glushchenko, Vladislav Petrov, Konstantin Lastochkin

A problem of identification of piecewise-constant unknown parameters of a linear regression equation (LRE) is considered. Such parameters change their values over the interval of t…

eess.SY2021

I-DREM MRAC with Time-Varying Adaptation Rate & No A Priori Knowledge of Control Input Matrix Sign to Relax PE Condition

Anton Glushchenko, Vladislav Petrov, Konstantin Lastochkin

The known dynamic regressor extension and mixing method (DREM) is combined with the proposed filter of a new type, which uses the integration operation with forgetting, and the rec…

eess.SY20203 cited

Robust method to provide exponential convergence of model parameters solving LTI plant identification problem

Anton Glushchenko, Vladislav Petrov, Konstantin Lastochkin

The scope of this research is a problem of parameters identification of a linear time-invariant (LTI) plant, which 1) input signal is not frequency-rich, 2) is subjected to initial…