Home > Research > Publications & Outputs > Comment on ‘projection-based identification alg...
View graph of relations

Comment on ‘projection-based identification algorithm for grey-box continuous-time models'

Research output: Contribution to Journal/MagazineComment/debatepeer-review

Published

Standard

Comment on ‘projection-based identification algorithm for grey-box continuous-time models'. / Young, Peter.
In: Systems and Control Letters, Vol. 69, 07.2014, p. 62–64.

Research output: Contribution to Journal/MagazineComment/debatepeer-review

Harvard

APA

Vancouver

Young P. Comment on ‘projection-based identification algorithm for grey-box continuous-time models'. Systems and Control Letters. 2014 Jul;69:62–64. doi: 10.1016/j.sysconle.2014.04.005

Author

Bibtex

@article{15a97f74b27c4c899127f68b9aba0647,
title = "Comment on {\textquoteleft}projection-based identification algorithm for grey-box continuous-time models'",
abstract = "Although the paper by Maruta and Sugie (2013) makes an interesting contribution to the literature on the estimation of parameters in grey-box, continuous-time transfer function models, some of the simulation results are flawed and give a misleading impression of how the algorithm suggested by the authors compares with the well known and closely related SRIVC algorithm.",
keywords = "Parameter estimation, Continuous-time , Transfer function models , Refined instrumental variable algorithms",
author = "Peter Young",
year = "2014",
month = jul,
doi = "10.1016/j.sysconle.2014.04.005",
language = "English",
volume = "69",
pages = "62–64",
journal = "Systems and Control Letters",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Comment on ‘projection-based identification algorithm for grey-box continuous-time models'

AU - Young, Peter

PY - 2014/7

Y1 - 2014/7

N2 - Although the paper by Maruta and Sugie (2013) makes an interesting contribution to the literature on the estimation of parameters in grey-box, continuous-time transfer function models, some of the simulation results are flawed and give a misleading impression of how the algorithm suggested by the authors compares with the well known and closely related SRIVC algorithm.

AB - Although the paper by Maruta and Sugie (2013) makes an interesting contribution to the literature on the estimation of parameters in grey-box, continuous-time transfer function models, some of the simulation results are flawed and give a misleading impression of how the algorithm suggested by the authors compares with the well known and closely related SRIVC algorithm.

KW - Parameter estimation

KW - Continuous-time

KW - Transfer function models

KW - Refined instrumental variable algorithms

U2 - 10.1016/j.sysconle.2014.04.005

DO - 10.1016/j.sysconle.2014.04.005

M3 - Comment/debate

VL - 69

SP - 62

EP - 64

JO - Systems and Control Letters

JF - Systems and Control Letters

ER -