no code implementations • 21 Feb 2024 • Olga Kozachek, Nikolay Nikolaev, Olga Slita, Alexey Bobtsov
In this paper an adaptive state observer and parameter identification algorithm for a linear time-varying system are developed under condition that the state matrix of the system contains unknown time-varying parameters of a known form.
no code implementations • 25 May 2023 • Vladimir Vorobyev, Alexey Bobtsov, Nikolay Nikolaev, Anton Pyrkin
The article investigates an algorithm for identifying an unknown constant parameter for a scalar regression model using a nonlinear operator that allows us to obtain a new regression equation (with an expanded number of unknown parameters) for which the influence of interference in measurement or disturbance will be minimal.
no code implementations • 24 May 2023 • Olga Kozachek, Alexey Bobtsov, Nikolay Nikolaev
The paper proposes an adaptive observer of the state vector of a nonlinear time varying system based on measurements of the output variable.
no code implementations • 24 May 2023 • Alexey Bobtsov, Vladimir Virobyev, Nikolay Nikolaev, Anton Pyrkin, Romeo Ortega
It is also assumed that there is no a priori information about the disturbance or noise in the measurement channel (for example, frequency spectrum, covariance, etc.).
no code implementations • 14 Jan 2022 • Daniele Zonetti, Alexey Bobtsov, Romeo Ortega, Nikolay Nikolaev, Oriol Gomis-Bellmunt
In this paper we are interested in the problem of adaptive synchronization of a voltage source converter with a possibly weak grid with unknown angle and frequency, but knowledge of its parameters.