This paper describes a benchmark for nonlinear system identification. A Wiener-Hammerstein system is selected as test object. In such a structure there is no direct access to the static nonlinearity starting from the measured input/output, because it is sandwiched between two unknown dynamic systems. The signal-to-noise ratio of the measurements is quite high, which puts the focus of the benchmark on the ability to identify the nonlinear behaviour, and not so much on the noise rejection properties. The benchmark is not intended as a competition, but as a tool to compare the possibilities of different methods to deal with this specific nonlinear structure.CADIC
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...
In literature, various linear and nonlinear model structures are defined to identify the systems. Li...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
This paper describes a benchmark for nonlinear system identification. A Wiener-Hammerstein system is...
\u3cp\u3eNonlinear system identification is a fast evolving field of research with contributions fro...
The Wiener-Hammerstein system structure is a well-known block-oriented structure. It contains a stat...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
The Hammerstein and Wiener models are nonlinear representations od systems composed by the coupling ...
This paper proposes a new blind approach to identification of Hammerstein-Wiener models, where a lin...
A method for black-box identification of a Wiener-Hammerstein system is described and applied to a s...
Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandw...
This work analyzes the performance of several black box nonlinear model identification techniques fo...
In nonlinear system identification, the system is often represented as a series of blocks linked tog...
An algorithm for the identification of non-linear systems which can be described by a Hammerstein mo...
Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlin...
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...
In literature, various linear and nonlinear model structures are defined to identify the systems. Li...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems
This paper describes a benchmark for nonlinear system identification. A Wiener-Hammerstein system is...
\u3cp\u3eNonlinear system identification is a fast evolving field of research with contributions fro...
The Wiener-Hammerstein system structure is a well-known block-oriented structure. It contains a stat...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
The Hammerstein and Wiener models are nonlinear representations od systems composed by the coupling ...
This paper proposes a new blind approach to identification of Hammerstein-Wiener models, where a lin...
A method for black-box identification of a Wiener-Hammerstein system is described and applied to a s...
Wiener-Hammerstein systems consist of a series connection including a nonlinear static element sandw...
This work analyzes the performance of several black box nonlinear model identification techniques fo...
In nonlinear system identification, the system is often represented as a series of blocks linked tog...
An algorithm for the identification of non-linear systems which can be described by a Hammerstein mo...
Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlin...
Abstract: In the note several algorithms for nonlinear system identification are presented. The clas...
In literature, various linear and nonlinear model structures are defined to identify the systems. Li...
Paper describes non-linear structure identification with application to Wiener-Hammerstein systems