International audienceWe present a new identification method for nonlinear Volterra models of the form H(dt)X=F(u,X)+v with H(dt) a causal convolution operator. It is based first on a suitable parameterization of H(dt) deduced from the so-called diffusive representation, devoted to state representations of integral operators, and second on a suitable operatorial transformation of the problem with the property that the nonlinear term F(u,X) is cancelled, allowing to identify the operator H(dt) alone. Then, the nonlinear term can be identified from standard regression methods. For illustration, we implement this method on a concrete numerical example
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
This paper describes a modeling approach for nonlinear dynamic systems based on a modified Volterra ...
International audienceWe present a new identification method for nonlinear Volterra models of the fo...
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 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 audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceWe present a new identification method for nonlinear possibly singular Volterr...
International audienceIn this paper, a method is proposed for the identification of some SISO nonlin...
International audienceThe authors introduce a new identification method for general causal convoluti...
AbstractIn this paper, we adapt Lavrent'ev method so to obtain a reconstruction procedure for the in...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
In this paper, we propose a new algorithm for constructing an integral model of a nonlinear dynamic ...
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
This paper describes a modeling approach for nonlinear dynamic systems based on a modified Volterra ...
International audienceWe present a new identification method for nonlinear Volterra models of the fo...
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 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 audienceIn this paper, we show how the so-called diffusive representation can be used ...
International audienceWe present a new identification method for nonlinear possibly singular Volterr...
International audienceIn this paper, a method is proposed for the identification of some SISO nonlin...
International audienceThe authors introduce a new identification method for general causal convoluti...
AbstractIn this paper, we adapt Lavrent'ev method so to obtain a reconstruction procedure for the in...
The use of the mathematical models based on the Volterra integro-power series for identification of ...
In this paper, we propose a new algorithm for constructing an integral model of a nonlinear dynamic ...
reconstruction. The nonlinear system identification based on the Volterra model is applicable only f...
The first part of the thesis is devoted to the mathematical and numerical problem of inversion of dy...
This paper describes a modeling approach for nonlinear dynamic systems based on a modified Volterra ...