International audienceThis paper addresses the problem of Wiener system identification. The linear subsystem is stable but not necessarily parametric. The nonlinear subsystem is a backlash element with not necessarily symmetric borders. A common difficulty to all Wiener systems is that their models are not uniquely defined: they are unique up to an uncertain multiplicative factor. Then, it makes sense to start the frequency identification process estimating first the system phase as this is identical (modulo pi) for all models. To this end, the system frequency response, at a given frequency, is characterized by a family of Lissajous-like curves each one is characterized by a phase value. It is shown that the only admissible curve (i.e. one...
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
Existing works on Wiener system identification have essentially been focused on the case where the o...
We propose a new methodology for identifying Wiener systems using the data acquired from two separat...
International audienceThis paper addresses the problem of Wiener system identification. The linear s...
International audienceThis paper addresses the problem of Wiener system identification. The underlyi...
International audienceThis paper deals with the identification of Wiener models that involve backlas...
This paper deals with the identification of Wiener models that involve backlash operators bordered ...
International audienceModel frequency identification is addressed for nonparametric Wiener systems c...
© 2017 IEEE. In this paper we introduce a new method for Wiener system identification that relies on...
International audienceModel identification is addressed for nonparametric Wiener systems containing ...
A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is w...
Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlin...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
Existing works on Wiener system identification have essentially been focused on the case where the o...
We propose a new methodology for identifying Wiener systems using the data acquired from two separat...
International audienceThis paper addresses the problem of Wiener system identification. The linear s...
International audienceThis paper addresses the problem of Wiener system identification. The underlyi...
International audienceThis paper deals with the identification of Wiener models that involve backlas...
This paper deals with the identification of Wiener models that involve backlash operators bordered ...
International audienceModel frequency identification is addressed for nonparametric Wiener systems c...
© 2017 IEEE. In this paper we introduce a new method for Wiener system identification that relies on...
International audienceModel identification is addressed for nonparametric Wiener systems containing ...
A Wiener system is composed of a linear dynamic subsystem followed by a static nonlinearity. It is w...
Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlin...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
In this paper, an identification method is proposed to determine the nonlinear systems parameters. T...
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
Existing works on Wiener system identification have essentially been focused on the case where the o...
We propose a new methodology for identifying Wiener systems using the data acquired from two separat...