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The range error test in the structural identification of linear multivariable systems

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3 Author(s)
Guidorzi, R. ; Università di Bologna, Bologna, Italy ; Losito, M. ; Muratori, T.

Among the approaches that have been proposed in recent years for the identification of discrete-time linear multivariable systems, very efficient procedures are based on the introduction of a set of input-output canonical models and on the separate determination of the process structure (structural identification) and parameters (parametric identification). This paper introduces a new simple test which allows us to perform the structural identification without the drawbacks usually associated with singularity tests. The proposed test gives an a priori prediction of the model performance in order to avoid trial and error procedures in the determination of a suitable structure for the process to be identified.

Published in:

Automatic Control, IEEE Transactions on  (Volume:27 ,  Issue: 5 )

Date of Publication:

Oct 1982

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