In this contribution, a system identification procedure of a two-input Wiener model suitable for the analysis of the disturbance behavior of integrated nonlinear circuits is presented. The identified block model is comprised of two linear dynamic and one static nonlinear block, which are determined using an parameterized approach. In order to characterize the linear blocks, an correlation analysis using a white noise input in combination with a model reduction scheme is adopted. After having characterized the linear blocks, from the output spectrum under single tone excitation at each input a linear set of equations will be set up, whose solution gives the coefficients of the nonlinear block. By this data based black box approach, the disto...
A method is presented to measure and identify a linear system in the presence of nonlinear distorti...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
Multiple-variance identification methods are based on the use of input signals with different powers...
The ability to construct accurate mathematical models of real systems is an important part of contro...
In this paper we propose an identification method of nonlinear system. This later can be structured ...
This paper is concerned with the problem of nonlinear Wiener chan-nel identification using input-out...
Wiener model is a nonlinear representation of systems composed by the coupling of a linear system L ...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
Wiener-type systems are widely used model structures, consisting of a series connection of a dynamic...
This work analyzes the performance of several black box nonlinear model identification techniques fo...
We propose a new methodology for identifying Wiener systems using the data acquired from two separat...
In this dissertation, we present research on identifying Wiener systems with known, noninvertible no...
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...
A method is presented to measure and identify a linear system in the presence of nonlinear distorti...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
Multiple-variance identification methods are based on the use of input signals with different powers...
The ability to construct accurate mathematical models of real systems is an important part of contro...
In this paper we propose an identification method of nonlinear system. This later can be structured ...
This paper is concerned with the problem of nonlinear Wiener chan-nel identification using input-out...
Wiener model is a nonlinear representation of systems composed by the coupling of a linear system L ...
International audienceA Wiener system is composed of a linear dynamic subsystem followed by a static...
Wiener-type systems are widely used model structures, consisting of a series connection of a dynamic...
This work analyzes the performance of several black box nonlinear model identification techniques fo...
We propose a new methodology for identifying Wiener systems using the data acquired from two separat...
In this dissertation, we present research on identifying Wiener systems with known, noninvertible no...
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...
A method is presented to measure and identify a linear system in the presence of nonlinear distorti...
We evaluate the effectiveness of the Wiener model structure in modeling of the given benchmark probl...
Multiple-variance identification methods are based on the use of input signals with different powers...