Parameterization and identification of multivariable state-space systems: A canonical approach

Authors:
Guillaume Mercère;Laurent Bako
Affiliations:
Poitiers University, Laboratoire d'Automatique et d'Informatique Industrielle, 2 Rue Pierre Brousse, bítiment B25, 86022 Poitiers, France;Univ Lille Nord de France, F-59000 Lille, France and EMDouai, IA, F-59500 Douai, France
Venue:
Automatica (Journal of IFAC)
Year:
2011

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Abstract

In this paper, the problem of determining a canonical state-space representation for multivariable systems is revisited. A method is derived to build a canonical state-space representation directly from data generated by a linear time-invariant system. Contrary to the classic construction methods of canonical parameterizations, the technique developed in this paper does not assume the availability of any observability or controllability indices. However, it requires the A-matrix of any minimal realization of the system to be non-derogatory. A subspace-based identification algorithm is also introduced to estimate such a canonical state-space parameterization directly from input-output data.