Robust Online Filter Based on a Second-Order Adaptive Model

Shenglun Yi, Xuemei Ren*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper considers robust online filtering problems based on a second-order adaptive model. On the one hand, an adaptive second-order model is applied to characterize the nominal model of the data collected in real-time. On the other hand, we introduce a risk sensitivity parameter to express the modeling error between the nominal model and the actual model. More precisely, the proposed algorithm consists of two parts, one is the state estimation based on the robust Kalman filter, the other is the parameter identification using the Yule-Walker algorithm. Finally, results show the superiority of the proposed robust online filter.

源语言英语
主期刊名Proceedings of 2020 Chinese Intelligent Systems Conference - Volume II
编辑Yingmin Jia, Weicun Zhang, Yongling Fu
出版商Springer Science and Business Media Deutschland GmbH
691-698
页数8
ISBN(印刷版)9789811584572
DOI
出版状态已出版 - 2021
活动Chinese Intelligent Systems Conference, CISC 2020 - Shenzhen, 中国
期限: 24 10月 202025 10月 2020

出版系列

姓名Lecture Notes in Electrical Engineering
706 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议Chinese Intelligent Systems Conference, CISC 2020
国家/地区中国
Shenzhen
时期24/10/2025/10/20

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