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A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises
Wang, Zhu; Luo, Xionglin
刊名JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
2017
卷号354页码:8645-8658
ISSN号0016-0032
DOI10.1016/j.jfranklin.2017.10.021
URL标识查看原文
收录类别SCIE
WOS记录号WOS:000417001200033
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6269518
专题中国石油大学(北京)
推荐引用方式
GB/T 7714
Wang, Zhu,Luo, Xionglin. A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2017,354:8645-8658.
APA Wang, Zhu,&Luo, Xionglin.(2017).A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,354,8645-8658.
MLA Wang, Zhu,et al."A novel weight function-based robust iterative learning identification method for discrete Box-Jenkins models with Student's t-distribution noises".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 354(2017):8645-8658.
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