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Nonlinear Filtering With Sample-Based Approxi-mation Under Constrained Communication:Progress,Insights and Trends

Weihao Song Zidong Wang Zhongkui Li Jianan Wang Qing-Long Han

自动化学报(英文版)2024,Vol.11Issue(7):1539-1556,18.
自动化学报(英文版)2024,Vol.11Issue(7):1539-1556,18.DOI:10.1109/JAS.2023.123588

Nonlinear Filtering With Sample-Based Approxi-mation Under Constrained Communication:Progress,Insights and Trends

Nonlinear Filtering With Sample-Based Approxi-mation Under Constrained Communication:Progress,Insights and Trends

Weihao Song 1Zidong Wang 2Zhongkui Li 1Jianan Wang 3Qing-Long Han4

作者信息

  • 1. State Key Laboratory for Turbulence and Complex Systems,Department of Mechanics and Engineering Science,College of Engineering,Peking University,Beijing 100871,China
  • 2. Department of Computer Science,Brunel University London,Uxbridge,Middlesex,UB8 3PH,United Kingdom
  • 3. School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China
  • 4. School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne,VIC 3122,Australia
  • 折叠

摘要

关键词

Communication constraints/maximum correntropy filter/networked nonlinear filtering/particle filter/sample-based approximation/unscented Kalman filter

Key words

Communication constraints/maximum correntropy filter/networked nonlinear filtering/particle filter/sample-based approximation/unscented Kalman filter

引用本文复制引用

Weihao Song,Zidong Wang,Zhongkui Li,Jianan Wang,Qing-Long Han..Nonlinear Filtering With Sample-Based Approxi-mation Under Constrained Communication:Progress,Insights and Trends[J].自动化学报(英文版),2024,11(7):1539-1556,18.

基金项目

This work was supported in part by the National Key R&D Program of China(2022ZD0116401,2022ZD0116400),the National Natural Science Foundation of China(62203016,U2241214,T2121002,62373008,61933007),the China Postdoctoral Science Foundation(2021TQ0009),the Royal Society of the UK,and the Alexander von Humboldt Foundation of Germany. (2022ZD0116401,2022ZD0116400)

自动化学报(英文版)

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