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A NEW MINIMAL LOCAL PARAMETRIZATION FOR MULTIVARIABLE LINEAR SYSTEMS
Tomas McKelvey*
* Dept. of Signals and Systems, Chalmers University of Technology,
SE-412 96 Gothenburg, Sweden, mckelvey@s2.chalmers.se
A new minimal parametrization of multivariable linear system is proposed. Based on a realization of a nominal transfer function the parametrization is defined as a perturbation around the nominal model. A particular parameter basis is selected which, for the impulse response identification problem, leads to Hessian matrix of the criterion function which is equal to the identity matrix.
Keywords: System identification, Parametrization, Linear multivariable systems, Identification algorithms, State-space realization
Session slot T-Mo-M02: State Space Identification and Subspace Methods/Area code 3a : Modelling, Identification and Signal Processing
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