Abstrakti
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.
Alkuperäiskieli | Ei tiedossa |
---|---|
Sivut | 72–77 |
Julkaisu | IFAC papers online |
Vuosikerta | 51 |
Numero | 15 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2018 |
OKM-julkaisutyyppi | A1 Julkaistu artikkeli, soviteltu |
Keywords
- System Identification