Differentially coprime kernel representations and closed-loop identification of nonlinear systems

Kenji Fujimoto; Brian D.O. Anderson; Franky De Bruyne

doi:10.1109/ACC.2000.878882

Differentially coprime kernel representations and closed-loop identification of nonlinear systems

Kenji Fujimoto, Brian D.O. Anderson, Franky De Bruyne

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.

Original language	English
Pages (from-to)	302-306
Journal	Proceedings of the American Control Conference
Volume	1
DOIs	https://doi.org/10.1109/ACC.2000.878882
Publication status	Published - 2000

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abstract = "In this paper, we utilize the differential kernel representation concept to convert a nonlinear closed-loop identification problem into one of open-loop identification utilizing nonlinear version of the Youla parametrization. The main advantage of our approach using kernel representations over fractional descriptions is that we address a larger class of nonlinear systems.",

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JO - Proceedings of the American Control Conference

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Differentially coprime kernel representations and closed-loop identification of nonlinear systems

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