3 citations · 13 across the 20 of their papers we have counts for
9 papers · 1 filter
Monotonous Parameter Estimation of One Class of Nonlinearly Parameterized Regressions without Overparameterization
Anton Glushchenko, Konstantin Lastochkin
The estimation law of unknown parameters vector is proposed for one class of nonlinearly parametrized regression equations $y\left( t \right) = Ω\left( t \right)Θ\left( θ\right…
Exponentially Stable Adaptive Observation for Systems Parameterized by Unknown Physical Parameters
Anton Glushchenko, Konstantin Lastochkin
The method to design exponentially stable adaptive observers is proposed for linear time-invariant systems parameterized by unknown physical parameters. Unlike existing adaptive so…
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…
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 Stable Adaptive Optimal Control of Uncertain LTI Systems
Anton Glushchenko, Konstantin Lastochkin
A novel method of an adaptive linear quadratic (LQ) regulation of uncertain continuous linear time-invariant systems is proposed. Such an approach is based on the direct self-tunin…
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…
Unknown Piecewise Constant Parameters Identification with Exponential Rate of Convergence
Anton Glushchenko, Konstantin Lastochkin
The scope of this research is the identification of unknown piecewise constant parameters of linear regression equation under the finite excitation condition. Compared to the known…
Exponentially Stable Adaptive Control of MIMO Systems with Unknown Control Matrix
Anton Glushchenko, Konstantin Lastochkin
The scope of this research is a problem of the direct model reference adaptive control of linear time-invariant multi-input multi-output (MIMO) plants without any a priori knowledg…
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…