4 papers
Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel
Vladimir Vorobyev, Alexey Bobtsov, Nikolay Nikolaev +1
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 regressi…
Synthesis of an adaptive observer of state variables for a linear stationary object in the presence of measurement noise
Alexey Bobtsov, Vladimir Virobyev, Nikolay Nikolaev +2
The article is devoted to the problem of synthesis of observers of state variables for linear stationary objects operating under conditions of noise or disturbances in the measurem…
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor
Anton Pyrkin, Alexey Bobtsov, Romeo Ortega +2
In this paper we provide the first solution to the challenging problem of designing a globally exponentially convergent estimator for the parameters of the standard model of a cont…
An Adaptive Observer for Uncertain Linear Time-Varying Systems with Unknown Additive Perturbations
Anton Pyrkin, Alexey Bobtsov, Romeo Ortega +1
In this paper we are interested in the problem of adaptive state observation of linear time-varying (LTV) systems where the system and the input matrices depend on unknown time-var…