Identification of an impulse response through a model of ARX structure

Author:

Maillet Denis,Zacharie Célien,Rémy Benjamin

Abstract

Abstract Polynomial parametric models of ARX structure are becoming increasingly popular for characterizing heat transfer for linear thermal systems with time invariant coefficients. This stems from their robustness when applied to inverse problems, either for model reduction, for experimental model identification or for inverse input problems. Their parsimonious character allows to get residuals of very low levels with a limited number of coefficients. This paper shows, on a theoretical algebraic basis, that ARX models can be deduced from convolutive models.

Publisher

IOP Publishing

Subject

Computer Science Applications,History,Education

Reference9 articles.

1. Modeling unsteady diffusive and advective heat transfer for linear dynamical systems : A transfer function approach;Al Hadad;International Journal of Heat and Mass Transfer,2017

2. Experimental transfer functions identification: Thermal impedance and transmittance in a channel heated by an upstream unsteady volumetric heat source;Al Hadad;International Journal of Heat and Mass Transfer

3. Transfer function identification through total least squares;Al Hadad;Journal of Physics: Conf. Series,2018

4. Indirect measurement of temperature inside a furnace, ARX model identification;Loussouarn;Journal of Physics: Conf. Series,2018

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