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.
Originalspråk | Odefinierat/okänt |
---|---|
Sidor (från-till) | 72–77 |
Tidskrift | IFAC papers online |
Volym | 51 |
Nummer | 15 |
DOI | |
Status | Publicerad - 2018 |
MoE-publikationstyp | A1 Tidskriftsartikel-refererad |
Nyckelord
- System Identification