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Distributed Indegree-weighted Kalman Consensus Filter Algorithm Against Packet-dropping

  • Northwestern Polytechnical University Xian

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, on the basis of the Kalman consensus filter (KCF), the indegree-weighted Kalman consensus filter (IKCF) is proposed for the distributed network in the presence of packet-dropping. In the IKCF, the extended sensor measurement model is introduced to ensure all sensors can achieve measurements under packet-dropping. Further, we designed the quantization function based on the indegree to combat the transmission error. Experimental results illustrate the superior performance of the proposed IKCF.

源语言英语
主期刊名Proceedings - 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023
编辑Truong Xuan Tung, Tran Cong Tan, Cao Huu Tinh
出版商Institute of Electrical and Electronics Engineers Inc.
535-540
页数6
ISBN(电子版)9798350328783
DOI
出版状态已出版 - 2023
活动12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023 - Hanoi, 越南
期限: 27 11月 202329 11月 2023

出版系列

姓名Proceedings - 12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023

会议

会议12th IEEE International Conference on Control, Automation and Information Sciences, ICCAIS 2023
国家/地区越南
Hanoi
时期27/11/2329/11/23

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