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

3 citations · 13 across the 20 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

eess.SY2021

Relaxation of Conditions for Convergence of Dynamic Regressor Extension and Mixing Procedure

Anton Glushchenko, Konstantin Lastochkin

A generalization of the dynamic regressor extension and mixing procedure is proposed, which, unlike the original procedure, first, guarantees a reduction of the unknown parameter i…

eess.SY2021

Robust Time-Varying Parameters Estimation Based on I-DREM Procedure

Anton Glushchenko, Konstantin Lastochkin

We consider a class of systems with time-varying parameters, which are written as linear regressions with bounded disturbances. The task is to estimate such parameters under the co…

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…

stat.ME2021★ 1 cited

Normalization of regressor excitation as a part of dynamic regressor extension and mixing procedure

Anton Glushchenko, Vladislav Petrov, Konstantin Lastochkin

The method of excitation normalization of the regressor, which is used in the estimation loop to solve the plant identification problem, is proposed. It is based on the dynamic reg…

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.SY2021

Regression Filtration with Resetting to Provide Exponential Convergence of MRAC for Plants with Jump Change of Unknown Parameters

Anton Glushchenko, Vladislav Petrov, Konstantin Lastochkin

This paper proposes a new method to provide the exponential convergence of both the parameter and tracking errors of the composite adaptive control system without the persistent ex…