Add to ORKGSeveral algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE), and the Instrumental Variable (IV), for parameter estimation of Wiener-Hammerstein models, are derived. Monte Carlo simulation results are provided showing the effectiveness, and comparing the performance of these algorithm
Estimation of a single-input single-output block-oriented model is studied. The model consists of a ...
Different from the output-input representation based identification methods of two-block Hammerstein...
A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hamme...
Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE)...
Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE)...
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
Conventional methods of estimating model parameters have difficulties with both nonlinear systems an...
The estimation problem of stochastic Wiener-Hammerstein models is recognized to be challenging, main...
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is ...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
System identification is very important to technical and nontechnical areas. All physical systems ar...
Abstract: This paper investigates the accuracy of the linear model estimate that forms a part of an ...
Abstract: This paper describes a new algorithm for initializing and estimating Wiener-Hammerstein mo...
Estimation of a single-input single-output block-oriented model is studied. The model consists of a ...
Different from the output-input representation based identification methods of two-block Hammerstein...
A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hamme...
Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE)...
Several algorithms, namely the Output Error (OE), the Equation Error (EE), the Prediction Error (PE)...
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
Conventional methods of estimating model parameters have difficulties with both nonlinear systems an...
The estimation problem of stochastic Wiener-Hammerstein models is recognized to be challenging, main...
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is ...
To my husband System identication deals with the problem of constructing models of sys-tems from obs...
System identification is very important to technical and nontechnical areas. All physical systems ar...
Abstract: This paper investigates the accuracy of the linear model estimate that forms a part of an ...
Abstract: This paper describes a new algorithm for initializing and estimating Wiener-Hammerstein mo...
Estimation of a single-input single-output block-oriented model is studied. The model consists of a ...
Different from the output-input representation based identification methods of two-block Hammerstein...
A two-stage identification algorithm is introduced for tracking the parameters in time-varying Hamme...