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Authors
Ferranti, Francesco; Rolain, Yves; Vandermot, Koen; Knockaert, Luc; Dhaene, Tom

Identifier
10.3182/20090706-3-FR-2004.00271

Index Terms
Multivariable System Identification; Frequency Domain Identification; Continuous Time System Estimation

Abstract
This paper modifies a recent robust parametric macromodeling technique called Multivariate Orthonormal Vector Fitting (MOVF), to handle noisy data in an output error estimation framework. The new method provides accurate and compact rational parametric macromodels based on measurements in the frequency domain. The performance of the multivariate method is shown on simulation as well as on real measurements.

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