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• W2039133710 abstract "Abstract The paper introduces a method to estimate a linear state-space model from its input-output data. Its starting point is the conversion of the state-space model into an input-output ARMAX-like model. In order to conveniently estimate the parameters of this ARMAX model, it is necessary, given the structural characteristics of the initial state-space model, to assume that the dynamic state matrix A is nonderogatory. Under this condition, it is shown that the input-output model and the state-space model from which it is derived have the same order. Based on this important result in linear system realization theory, a canonical state-space representation is finally obtained through a simple construction technique. The developed method can be regarded as an alternative to the standard subspace methods particularly in situations where the state coordinates basis need to be maintained constant with respect to the input-output realization used for the estimation." @default.
• W2039133710 created "2016-06-24" @default.
• W2039133710 creator A5005772420 @default.
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• W2039133710 date "2009-01-01" @default.
• W2039133710 modified "2023-09-23" @default.
• W2039133710 title "Identification of Multivariable Canonical State-Space Representations" @default.
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• W2039133710 doi "https://doi.org/10.3182/20090706-3-fr-2004.00272" @default.
• W2039133710 hasPublicationYear "2009" @default.
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