Add to ORKGAbstract: In this paper the problem of parameter estimation of an input – output system is discussed. It is assumed that the system is described by the relation known with accuracy to some parameters. The possible noisy observations of system are described. The estimation algorithm based on maximum likelihood method is proposed. The presented approach is illustrated by analytical examples
When the estimated parameter values are close to the true values, the probability density function o...
This contribution describes a common family of estimation methods for system identification, viz, pr...
This work deals with the identification of errors-in-variables models corrupted by white and uncorre...
In this paper the problem of parameter estimation of an input-output system is discussed. It is assu...
In this paper a system identification method is described for the case of measurement errors on inpu...
For control of an electric generator, it is desirable to approximate the remote part of the power sy...
This paper addresses the problem of parameter estimation of noisy input-output models, where the mea...
Abstract-A method is presented, which estimates the parameters of Linear Systems as) ud Naali.lecrr ...
Parameter estimation is the process of using observations from a system to develop mathematical mode...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
This paper is concerned with the parameter estimation of a relatively general class of nonlinear dyn...
With 22 refs., 3 tabs., 10 figs.Copy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - F...
Parameter estimation is important in mathematical modeling. The Maximum Likelihood method can be use...
The parameter estimation problem of linear systems from input output measurements, corrupted with no...
There is a continuing tendency to apply many of the powerful results of modern control theory to var...
When the estimated parameter values are close to the true values, the probability density function o...
This contribution describes a common family of estimation methods for system identification, viz, pr...
This work deals with the identification of errors-in-variables models corrupted by white and uncorre...
In this paper the problem of parameter estimation of an input-output system is discussed. It is assu...
In this paper a system identification method is described for the case of measurement errors on inpu...
For control of an electric generator, it is desirable to approximate the remote part of the power sy...
This paper addresses the problem of parameter estimation of noisy input-output models, where the mea...
Abstract-A method is presented, which estimates the parameters of Linear Systems as) ud Naali.lecrr ...
Parameter estimation is the process of using observations from a system to develop mathematical mode...
In this paper an algorithm is given to compute least squares estimates for the parameters of a dynam...
This paper is concerned with the parameter estimation of a relatively general class of nonlinear dyn...
With 22 refs., 3 tabs., 10 figs.Copy held by FIZ Karlsruhe; available from UB/TIB Hannover / FIZ - F...
Parameter estimation is important in mathematical modeling. The Maximum Likelihood method can be use...
The parameter estimation problem of linear systems from input output measurements, corrupted with no...
There is a continuing tendency to apply many of the powerful results of modern control theory to var...
When the estimated parameter values are close to the true values, the probability density function o...
This contribution describes a common family of estimation methods for system identification, viz, pr...
This work deals with the identification of errors-in-variables models corrupted by white and uncorre...