TY - JOUR
T1 - System identification method inheriting steady-state characteristics of existing model
AU - Yoshimura, Sho
AU - Matsubayashi, Ayaka
AU - Inoue, Masaki
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019
Y1 - 2019
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 - System identification
KW - model inheritance
KW - subspace method
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
VL - 92
SP - 2701
EP - 2711
JO - International Journal of Control
JF - International Journal of Control
SN - 0020-7179
IS - 11
ER -