Abstract
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.
Original language | Undefined/Unknown |
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Pages (from-to) | 72–77 |
Journal | IFAC papers online |
Volume | 51 |
Issue number | 15 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A1 Journal article-refereed |
Keywords
- System Identification