Add to ORKGIn this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Using a zero-mean stationary white Gaussian sequence as input to such models, their structure can be identified by considering the bispectrum of the output sequence. Simulation examples are included to illustrate the results of the pape
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is ...
System identification is very important to technical and nontechnical areas. All physical systems ar...
In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Usin...
Models, which are composed of cascades of linear dynamic and static nonlinear blocks, are considered...
The class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Suc...
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 ...
We propose a framework for modeling structured nonlinear systems using nonparametric Gaussian proces...
Wiener, Hammerstein, and Wiener–Hammerstein structures are useful for modelling dynamic systems that...
We propose a framework for modeling structured nonlinear systems using nonparametric Gaussian proces...
The Hammerstein model is considered in a generalized form, where its nonlinearelement can have multi...
A Parallel Wiener-Hammerstein system is a nonlinear dynamical system obtained by connecting multiple...
Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandw...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is ...
System identification is very important to technical and nontechnical areas. All physical systems ar...
In this paper, models composed of parallel branches of the Wiener-Hammerstein type are studied. Usin...
Models, which are composed of cascades of linear dynamic and static nonlinear blocks, are considered...
The class of nonlinear systems studied in this paper is assumed to be modeled by block-cascades. Suc...
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 ...
We propose a framework for modeling structured nonlinear systems using nonparametric Gaussian proces...
Wiener, Hammerstein, and Wiener–Hammerstein structures are useful for modelling dynamic systems that...
We propose a framework for modeling structured nonlinear systems using nonparametric Gaussian proces...
The Hammerstein model is considered in a generalized form, where its nonlinearelement can have multi...
A Parallel Wiener-Hammerstein system is a nonlinear dynamical system obtained by connecting multiple...
Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandw...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
Recursive algorithms for parameter estimation of Wiener-Hammerstein (W-H)models are developed. These...
This paper examines the use of a so-called "generalised Hammerstein-Wiener" model structure that is ...
System identification is very important to technical and nontechnical areas. All physical systems ar...