2 citations · 4 across the 6 of their papers we have counts for
6 papers
Adaptive Reconstruction of Nonlinear Systems States via DREM with Perturbation Annihilation
Anton Glushchenko, Konstantin Lastochkin
A new adaptive observer is proposed for a certain class of nonlinear systems with bounded unknown input and parametric uncertainty. Unlike most existing solutions, the proposed app…
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…
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…
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…
Exponentially Stable MRAC of MIMO Switched Systems with Matched Uncertainty and Completely Unknown Control Matrix
Anton Glushchenko, Konstantin Lastochkin
In this paper an attempt is made to extend the concept of the exponentially stable adaptive control to one class of multi-input-multi-output (MIMO) plants with matched nonlinearity…
Exponentially Convergent Direct Adaptive Pole Placement Control of Plants with Unmatched Uncertainty under FE Condition
Anton Glushchenko, Konstantin Lastochkin
A new method of direct adaptive pole placement control (APPC) is developed for plants with unmatched uncertainty, which linearly depends on a state vector. It guarantees the expone…