Abstract
In this paper, we propose an identification method to construct a state-space model that inherits steady-state characteristics from an existing model. It is assumed that in prior to an identification experiment, a designer has a model which accurately expresses steady-state characteristics of an actual system responding to certain inputs. The characteristics are extracted and inherited to a reconstructed state-space model via the combination with a subspace identification method. By applying a change-of-variable technique, the combined identification problem, which is formulated as nonlinear optimisation, is reduced to a least squares problem. Finally, we show the effectiveness of the proposed method in three different numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | International Journal of Control |
| DOIs | |
| Publication status | Accepted/In press - 2018 Apr 1 |
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Keywords
- model inheritance
- subspace method
- System identification
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
Cite this
System identification method inheriting steady-state characteristics of existing model. / Yoshimura, Sho; Matsubayashi, Ayaka; Inoue, Masaki.
In: International Journal of Control, 01.04.2018, p. 1-11.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - System identification method inheriting steady-state characteristics of existing model
AU - Yoshimura, Sho
AU - Matsubayashi, Ayaka
AU - Inoue, Masaki
PY - 2018/4/1
Y1 - 2018/4/1
N2 - In this paper, we propose an identification method to construct a state-space model that inherits steady-state characteristics from an existing model. It is assumed that in prior to an identification experiment, a designer has a model which accurately expresses steady-state characteristics of an actual system responding to certain inputs. The characteristics are extracted and inherited to a reconstructed state-space model via the combination with a subspace identification method. By applying a change-of-variable technique, the combined identification problem, which is formulated as nonlinear optimisation, is reduced to a least squares problem. Finally, we show the effectiveness of the proposed method in three different numerical simulations.
AB - In this paper, we propose an identification method to construct a state-space model that inherits steady-state characteristics from an existing model. It is assumed that in prior to an identification experiment, a designer has a model which accurately expresses steady-state characteristics of an actual system responding to certain inputs. The characteristics are extracted and inherited to a reconstructed state-space model via the combination with a subspace identification method. By applying a change-of-variable technique, the combined identification problem, which is formulated as nonlinear optimisation, is reduced to a least squares problem. Finally, we show the effectiveness of the proposed method in three different numerical simulations.
KW - model inheritance
KW - subspace method
KW - System identification
UR - http://www.scopus.com/inward/record.url?scp=85045458704&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045458704&partnerID=8YFLogxK
U2 - 10.1080/00207179.2018.1458158
DO - 10.1080/00207179.2018.1458158
M3 - Article
AN - SCOPUS:85045458704
SP - 1
EP - 11
JO - International Journal of Control
JF - International Journal of Control
SN - 0020-7179
ER -