@inproceedings{45871afd4e6c4e789939c5e0f1f339be,
title = "A new method for identifying errors-in-variables system models",
abstract = "![CDATA[We study the problem of system identification for the errors-in-variables (EIV) model, based on noisy input and output measurement data, without assuming equal noise variances at the system input and output. A new method is proposed and a new identification algorithm is developed based on the subspace interpretation. The algorithm is unbiased, and achieves the consistency of the parameter estimates. The performance of the identification algorithm is examined by a numerical example, and compared with that of the Frisch scheme based algorithm.]]",
keywords = "algorithms, errors-in-variables models, least squares, parameter estimation, system identification",
author = "Hyundeok Kang and Guoxiang Gu and Zheng, {Wei Xing}",
year = "2019",
doi = "10.23919/ChiCC.2019.8865846",
language = "English",
isbn = "9789881563972",
publisher = "IEEE",
pages = "1537--1542",
booktitle = "Proceedings of the 38th Chinese Control Conference, 27-30 July 2019, Guangzhou, China",
note = "Chinese Control Conference ; Conference date: 27-07-2019",
}