3 citations · 3 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…