@inproceedings{6f14dc3a96934b5eaafcb6cb09aa7dc8,
title = "Recursive and iterative stochastic gradient algorithms based on two-step update estimation for wiener systems",
abstract = "In this paper, a recursive stochastic gradient algorithm based on two-step update estimation and an iterative stochastic gradient algorithm based on two-step update estimation are 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 SG-TSU and ISG-TSU algorithms are then analyzed. It is shown by a numerical example that if the relaxation factor is appropriately chosen, the proposed SG-TSU and ISG-TSU algorithms converge more quickly and have higher convergence precision than the standard SG and ISG algorithms, respectively.",
keywords = "Wiener system, identification algorithm, stochastic gradient, two-step update estimation",
author = "Dong, \{Rui Qi\} and Zhang, \{Yi Yang\} and Ying Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 11th Asian Control Conference, ASCC 2017 ; Conference date: 17-12-2017 Through 20-12-2017",
year = "2018",
month = feb,
day = "7",
doi = "10.1109/ASCC.2017.8287471",
language = "英语",
series = "2017 Asian Control Conference, ASCC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1940--1945",
booktitle = "2017 Asian Control Conference, ASCC 2017",
address = "美国",
}