International audienceWe present a time-continuous identification method for nonlinear dynamic Volterra models of the form HX=f(u,X)+vHX=f(u,X)+v with HH, a causal convolution operator. It is mainly based on a suitable parameterization of HH deduced from the so-called diffusive representation, which is devoted to state representations of integral operators. Following this approach, the complex dynamic nature of HH can be summarized by a few numerical parameters on which the identification of the dynamic part of the model will focus. The method is validated on a physical numerical example
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
International audienceIn this paper, a method is proposed for the identification of some SISO nonlin...
Abstract: Volterra series (VS) are widely used in non-linear dynamical system identification. Much p...
International audienceWe present a time-continuous identification method for nonlinear dynamic Volte...
We present a time-continuous identification method for nonlinear dynamic Volterra models of the form...
International audienceWe introduce a new identification method for nonlinear Volterra models of the ...
Abstract: We introduce a new identification method for nonlinear Volterra models of the form Hx = f(...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceWe present a new identification method for nonlinear Volterra models of the fo...
formulation and identification of implicit Volterra models by means of diffusive representatio
International audienceThe authors introduce a new identification method for general causal convoluti...
In this paper, we propose a new algorithm for constructing an integral model of a nonlinear dynamic ...
The concept of ''diffusive representation'' was previously introduced in the aim of transforming non...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
Based on the analysis and systematization of the inverse problems of dynamics, the study of the prop...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
International audienceIn this paper, a method is proposed for the identification of some SISO nonlin...
Abstract: Volterra series (VS) are widely used in non-linear dynamical system identification. Much p...
International audienceWe present a time-continuous identification method for nonlinear dynamic Volte...
We present a time-continuous identification method for nonlinear dynamic Volterra models of the form...
International audienceWe introduce a new identification method for nonlinear Volterra models of the ...
Abstract: We introduce a new identification method for nonlinear Volterra models of the form Hx = f(...
International audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceWe present a new identification method for nonlinear Volterra models of the fo...
formulation and identification of implicit Volterra models by means of diffusive representatio
International audienceThe authors introduce a new identification method for general causal convoluti...
In this paper, we propose a new algorithm for constructing an integral model of a nonlinear dynamic ...
The concept of ''diffusive representation'' was previously introduced in the aim of transforming non...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
Based on the analysis and systematization of the inverse problems of dynamics, the study of the prop...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
International audienceIn this paper, a method is proposed for the identification of some SISO nonlin...
Abstract: Volterra series (VS) are widely used in non-linear dynamical system identification. Much p...