Weighted hierarchical stochastic gradient identification algorithms for ARX models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Weighted hierarchical stochastic gradient identification algorithms for ARX models

Published:2020-10-20 Issue:2 Volume:52 Page:363-373
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Dong Rui-Qi¹^ORCID,Zhang Ying¹^ORCID,Wu Ai-Guo¹^ORCID

Affiliation:

1. Harbin Institute of Technology (Shenzhen), Shenzhen, People's Republic of China

Funder

Guangdong Natural Science Foundation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2020.1829163

Reference28 articles.

1. Signal frequency and parameter estimation for power systems using the hierarchical identification principle

2. Several multi-innovation identification methods

3. Hierarchical multi-innovation stochastic gradient algorithm for Hammerstein nonlinear system modeling

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Additional fractional gradient descent identification algorithm based on multi-innovation principle for autoregressive exogenous models;Scientific Reports;2024-08-27

2. Servo turntable adaptive step size momentum projection identification algorithm based on ARX model;Journal of the Franklin Institute;2024-03

3. Momentum‐innovation recursive least squares identification algorithm for a servo turntable system based on the output error model;International Journal of Robust and Nonlinear Control;2023-07-18

4. Parameter identification of fractional‐order Wiener system based on FF‐ESG and GI algorithms;Asian Journal of Control;2023-05-26

5. Identification of time-delay Markov jumps autoregressive system with recursive expectation maximum and convex optimization algorithm;Transactions of the Institute of Measurement and Control;2022-12-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3