The Wiener-Hammerstein system structure is a well-known block-oriented structure. It contains a static nonlinearity that is sandwiched in between two linear time-invariant (LTI) blocks. The presence of the two LTI blocks results in a problem that is harder to identify. The LTI blocks are realized as active filters while the static nonlinearity is implemented as a diode-resistor electronic circuit. The Wiener-Hammerstein system proposed here as a benchmark contains dominant process noise. The process noise enters the system before the static nonlinearity. Two much less significant noise sources are present in the measurement channels of the input and output. All the provided files, data and information on the Wiener-Hammerstein system are av...
Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cance...
In nonlinear system identification, the system is often represented as a series of blocks linked tog...
Fault detection and isolation in Wiener and Hammerstein systems via generation and processing of res...
The Wiener-Hammerstein system structure is a well-known block-oriented structure. It contains a stat...
This paper describes a benchmark for nonlinear system identification. A Wiener-Hammerstein system is...
A Parallel Wiener-Hammerstein system is a nonlinear dynamical system obtained by connecting multiple...
\u3cp\u3eIdentification of nonlinear block-oriented models has been extensively studied. The presenc...
The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static ...
This paper proposes a new blind approach to identification of Hammerstein-Wiener models, where a lin...
The continuous-time closed-form algorithms to sinusoidal input changes are proposed and presented fo...
The Hammerstein and Wiener models are nonlinear representations od systems composed by the coupling ...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
This paper presents a comparative study on the suitability of using Hammerstein or Wiener models to ...
For a nonlinear system with an input signal having a Gaussian probability distribution (this include...
Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cance...
In nonlinear system identification, the system is often represented as a series of blocks linked tog...
Fault detection and isolation in Wiener and Hammerstein systems via generation and processing of res...
The Wiener-Hammerstein system structure is a well-known block-oriented structure. It contains a stat...
This paper describes a benchmark for nonlinear system identification. A Wiener-Hammerstein system is...
A Parallel Wiener-Hammerstein system is a nonlinear dynamical system obtained by connecting multiple...
\u3cp\u3eIdentification of nonlinear block-oriented models has been extensively studied. The presenc...
The Wiener-Hammerstein model is a block-oriented model consisting of two linear blocks and a static ...
This paper proposes a new blind approach to identification of Hammerstein-Wiener models, where a lin...
The continuous-time closed-form algorithms to sinusoidal input changes are proposed and presented fo...
The Hammerstein and Wiener models are nonlinear representations od systems composed by the coupling ...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
In many engineering applications, the level of nonlinear distortions in frequency response function ...
This paper presents a comparative study on the suitability of using Hammerstein or Wiener models to ...
For a nonlinear system with an input signal having a Gaussian probability distribution (this include...
Filtered-X least mean square (FXLMS) control algorithm is a conventional algorithm employed to cance...
In nonlinear system identification, the system is often represented as a series of blocks linked tog...
Fault detection and isolation in Wiener and Hammerstein systems via generation and processing of res...