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Distributed State Estimation for Nonlinear Networked System with Correlated Noises

  • Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, the problem of distributed state estimation for nonlinear networked system with correlated noises is investigated. First, a distributed weighted consensus-based cubature information filtering algorithm is designed, of which the goal is to achieve accurate estimated states with the presence of correlated noises in a fully distributed fashion. Then based on the statistical linear approximation method, it is further proved that, the estimated states of the proposed filtering algorithm are consistent. Finally, the improved performance of the proposed filtering algorithm are confirmed by the numerical simulation.

源语言英语
主期刊名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
出版商Institute of Electrical and Electronics Engineers Inc.
页1292-1297
页数6
ISBN(电子版)9781728177090
DOI
出版状态已出版 - 13 12月 2020
活动16th International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 - Virtual, Online, 中国
期限: 13 12月 2020 → 15 12月 2020

丛书

姓名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020

会议

会议16th International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
国家/地区中国
市Virtual, Online
时期13/12/20 → 15/12/20

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