@inproceedings{0ce05272da8c4e2e921c69202ede38cb,
title = "Latest estimation based recursive stochastic gradient identification algorithms for ARX models",
abstract = "A modified recursive stochastic gradient identification algorithm is presented for ARX models. In the presented algorithm, the hierarchical identification principle is first used, and then the unknown true parameters are replaced by their latest estimation. The convergence analysis of the proposed algorithm is given. In addition, a simulation example is employed to show the advantage of the proposed identification algorithms in convergence rates and estimation accuracy compared with some existing algorithms.",
keywords = "Latest estimation, hierarchical identification, stochastic gradient",
author = "Wu, \{Ai Guo\} and Fu, \{Fang Zhou\} and Yu Teng",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7259944",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2033--2038",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
address = "美国",
}