标题:Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges
作者:Zou, Lei ;Wang, Zidong ;Hu, Jun ;Han, Qing-Long
作者机构:[Zou, Lei ;Wang, Zidong ] Department of Computer Science, Brunel University London, Uxbridge; Middlesex; UB8 3PH, United Kingdom;[Hu, Jun ] School of 更多
通讯作者:Wang, Zidong
通讯作者地址:[Wang, Z] College of Electrical Engineering and Automation, Shandong University of Science and TechnologyChina;
来源:Information Fusion
出版年:2020
卷:60
页码:1-10
DOI:10.1016/j.inffus.2020.01.009
关键词:Dynamical systems; Filtering; Moving horizon estimation; Multi-sensor information fusion; Performance analysis; State estimation
摘要:Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach has drawn ever-increasing research interests due mainly to its inherent capability of handling complex nonlinear systems and constrained systems. Recent years have witnessed considerable progress on the theoretical and practical research of MH estimation. In this work, a bibliographical review is provided on the moving horizon estimation problem and its applications. The basic idea of MH estimation is first introduced in detail. Then recent advances of MH estimation according to the underlying systems are summarized. Furthermore, some applications of MH estimation are presented. Finally, some research challenges of MH estimation problem are outlined for the further research. © 2020 Elsevier B.V.
收录类别:EI;SCOPUS
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080053238&doi=10.1016%2fj.inffus.2020.01.009&partnerID=40&md5=1f2c55bae52248c6ac79c8a690b3446e
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