This contribution describes a common family of estimation methods for system identification, viz, prediction-error methods. The basic ideas behind these methods are described. An overview of typical model structures to which they can be applied is also given, as well as the most fundamental asymptotic properties of the resulting estimates
The field of control-oriented system identification is mature. Nevertheless, it is still very active...
The problem of identifying dynamical models on the basis of measurement data is usually considered i...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
This contribution describes a common family of estimation methods for system identification, viz, pr...
Conventional system identification algorithms are based on the minimisation of the one step ahead pr...
In this paper a system identification method is described for the case of measurement errors on inpu...
Multi-step prediction error identification methods are preferred over plain one-step ahead predictio...
The proposed chapter aims at presenting a unified framework of prediction-error based identification...
We present results about classes of prefilters that may result in similar model estimates by use of ...
A prediction error estimation algorithm is derived for the estimation of complex number systems. The...
This paper introduces a real rational module framework in the context of prediction error identifica...
Identification of Linear Parameter-Varying (LPV) models is often addressed in an Input-Output (IO) s...
System identification deals with the construction of mathematical models of dynamical systems using ...
The field of control-oriented system identification is mature. Nevertheless, it is still very active...
The problem of identifying dynamical models on the basis of measurement data is usually considered i...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
This contribution describes a common family of estimation methods for system identification, viz, pr...
Conventional system identification algorithms are based on the minimisation of the one step ahead pr...
In this paper a system identification method is described for the case of measurement errors on inpu...
Multi-step prediction error identification methods are preferred over plain one-step ahead predictio...
The proposed chapter aims at presenting a unified framework of prediction-error based identification...
We present results about classes of prefilters that may result in similar model estimates by use of ...
A prediction error estimation algorithm is derived for the estimation of complex number systems. The...
This paper introduces a real rational module framework in the context of prediction error identifica...
Identification of Linear Parameter-Varying (LPV) models is often addressed in an Input-Output (IO) s...
System identification deals with the construction of mathematical models of dynamical systems using ...
The field of control-oriented system identification is mature. Nevertheless, it is still very active...
The problem of identifying dynamical models on the basis of measurement data is usually considered i...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...