Add to ORKGA Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and output are measured, but not the intermediate signal. We discuss the Maximum Likelihood estimate for Gaussian measurement and process noise, and the special cases when one of the noise sources is zero
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is w...
Technical reports from the Automatic Control group in Linköping are available by anonymous ftp at t...
A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and ...
The Wiener model is a block oriented model, having a linear dynamic system followed by a static nonl...
The Wiener model is a block oriented model, having a linear dynamic system followed by a static nonl...
The identification task consists of making a model of a system from measured input and output signal...
Abstract- This paper handles the identification of discrete-time Wiener systems from output measurem...
Within the class of nonlinear system models, the so-called block-oriented models have gained wide re...
The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static ...
Many parametric identification routines suffer from the problem with local minima. This is true also...
This paper develops and illustrates a new maximum-likelihood based method for the identification of ...
This paper develops and illustrates a new maximum-likelihood based method for the identification of ...
The identification problem for non-linear Wiener-Hammerstein-type systems is con-sidered. Unlike alt...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is w...
Technical reports from the Automatic Control group in Linköping are available by anonymous ftp at t...
A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and ...
The Wiener model is a block oriented model, having a linear dynamic system followed by a static nonl...
The Wiener model is a block oriented model, having a linear dynamic system followed by a static nonl...
The identification task consists of making a model of a system from measured input and output signal...
Abstract- This paper handles the identification of discrete-time Wiener systems from output measurem...
Within the class of nonlinear system models, the so-called block-oriented models have gained wide re...
The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static ...
Many parametric identification routines suffer from the problem with local minima. This is true also...
This paper develops and illustrates a new maximum-likelihood based method for the identification of ...
This paper develops and illustrates a new maximum-likelihood based method for the identification of ...
The identification problem for non-linear Wiener-Hammerstein-type systems is con-sidered. Unlike alt...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is w...
Technical reports from the Automatic Control group in Linköping are available by anonymous ftp at t...