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Found 4 papers, 0 papers with code
Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel
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.
Synthesis of an adaptive observer of state variables for a linear stationary object in the presence of measurement noise
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.).
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor
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 continuous stirred tank reactor.
An Adaptive Observer for Uncertain Linear Time-Varying Systems with Unknown Additive Perturbations
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-varying parameters.
