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Time-local formulation and identification of implicit Volterra models by use of diffusive representation
Authors:  line Casenave [Author vitae]
Affiliation:CNRS; LAAS; 7 avenue du colonel Roche, F-31077 Toulouse, France;Université de Toulouse; UPS, INSA, INP, ISAE; LAAS; F-31077 Toulouse, France
Abstract:We present a time-continuous identification method for nonlinear dynamic Volterra models of the form HX=f(u,X)+v with H, a causal convolution operator. It is mainly based on a suitable parameterization of H deduced from the so-called diffusive representation, which is devoted to state representations of integral operators. Following this approach, the complex dynamic nature of H 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.
Keywords:System identification   Least-squares method   Nonlinear Volterra model   Implicit model   Nonrational operator   State realization   Diffusive representation
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