Differentially coprime kernel representations and closed-loop identification of nonlinear systems
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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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Proceedings of the American Control Conference
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