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Robust control design requires an accurate knowledge of the uncertainty bound around the nominal model. While classical identification theory qualifies the uncertainty in identified models through confidence regions of the estimated parameters, recent works have studied frequency-domain error bounds for models identified via least-squares like techniques. In this paper a quantification of errors in...
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