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Differentially coprime kernel representations and closed-loop identification of non-linear systems

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Date

2000

Authors

Fujimoto, Kenji
Anderson, Brian
De Bruyne, Franky

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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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Keywords

Keywords: Closed loop control systems; Controllability; Feedback; Linearization; Mathematical models; Parameter estimation; Partial differential equations; System stability; Time varying control systems; Differentially coprime kernel representations; Fractional des

Citation

URI

http://hdl.handle.net/1885/94745

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ANU Research Publications

Source

Proceedings of the American Control Conference (ACC 2000)

Type

Conference paper

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