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20202026
most citedRobust method to provide exponential convergence of model parameters solving LTI plant identification problem

3 citations · 13 across the 26 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

eess.SY2023

Instrumental Variables based DREM for Online Asymptotic Identification of Perturbed Linear Systems

Anton Glushchenko, Konstantin Lastochkin

Existing online continuous-time parameter estimation laws provide exact (asymptotic/exponential or finite/fixed time) identification of dynamical linear/nonlinear systems parameter…

eess.SY2023

Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation

Anton Glushchenko, Konstantin Lastochkin

Most identification laws of unknown parameters of linear regression equations (LRE) ensure only boundedness of a parametric error in the presence of additive perturbations, which i…

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.SY2023★ 2 cited

Sensorless Adaptive Vibration Suppression in Two-Mass Systems via Joint Estimation of Controller Parameters and System States

Anton Glushchenko, Konstantin Lastochkin

The scope of this study is to develop a novel sensorless adaptive vibration suppression controller for two-mass systems with joint estimation of states and controller parameters. U…

eess.SY2023★ 1 cited

Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization

Anton Glushchenko, Konstantin Lastochkin

We consider a class of uncertain linear time-invariant overparametrized systems affected by bounded disturbances, which are described by a known exosystem with unknown initial cond…

eess.SY2023

Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparametrization

Anton Glushchenko, Konstantin Lastochkin

An adaptive state observer is proposed for a class of overparametrized uncertain linear time-invariant systems without restrictive requirement of their representation in the observ…

eess.SY2023★ 1 cited

Extended Adaptive Observer for Linear Systems with Overparametrization

Anton Glushchenko, Konstantin Lastochkin

Exponentially stable extended adaptive observer is proposed for a class of linear time-invariant systems with unknown parameters and overparameterization. It allows one to reconstr…