Identification of low-order models using Laguerre basis function expansions

Mikael Manngård, Hannu Toivonen

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Sammanfattning

In this paper, a method for identification of low-order output-error models expressed in terms of Laguerre basis functions is presented. The identification problem is formulated as a rank-constrained optimization problem in the Laguerre domain, which can be solved efficiently using nuclear norm regularization. Since the identified models are of low order, a minimal state-space realization of the system can be obtained without the use of additional approximative model-order reduction steps.

OriginalspråkOdefinierat/okänt
Sidor (från-till)72–77
TidskriftIFAC papers online
Volym51
Utgåva15
DOI
StatusPublicerad - 2018
MoE-publikationstypA1 Tidskriftsartikel-refererad

Nyckelord

  • System Identification

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