@inproceedings{707e6c4f75a6434e93557ec9abc44181,
title = "Least squares identification algorithm based on two-step update estimation for wiener system",
abstract = "In this paper, a least squares based on two-step update identification algorithm is established for the Wiener system by introducing a relaxation factor, which controls the relative importance of the two estimation parts. In addition, the convergence performance of the proposed LS-TSU algorithm is then analyzed. It is shown by a numerical example that if the weighting factor is appropriately chosen, the proposed LS-TSU algorithm can possess faster convergence speed and higher convergence precision compared with the standard LS algorithm.",
keywords = "Least squares, System identification, Update estimation, Wiener system",
author = "Dong, \{Rui Qi\} and Zhang, \{Yi Yang\} and Ying-Zhang and Guan, \{Hao Wei\}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Information and Automation, ICIA 2017 ; Conference date: 18-07-2017 Through 20-07-2017",
year = "2017",
month = oct,
day = "20",
doi = "10.1109/ICInfA.2017.8079055",
language = "英语",
series = "2017 IEEE International Conference on Information and Automation, ICIA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1039--1043",
booktitle = "2017 IEEE International Conference on Information and Automation, ICIA 2017",
address = "美国",
}