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Data-Based Filters for Non-Gaussian Dynamic Sys-tems With Unknown Output Noise Covariance

Elham Javanfar Mehdi Rahmani

自动化学报(英文版)2024,Vol.11Issue(4):866-877,12.
自动化学报(英文版)2024,Vol.11Issue(4):866-877,12.DOI:10.1109/JAS.2023.124164

Data-Based Filters for Non-Gaussian Dynamic Sys-tems With Unknown Output Noise Covariance

Data-Based Filters for Non-Gaussian Dynamic Sys-tems With Unknown Output Noise Covariance

Elham Javanfar 1Mehdi Rahmani1

作者信息

  • 1. Department of Electrical Engineering, Imam Khomeini International University, Qazvin 3414896818, Iran
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摘要

关键词

Data-based filter/maximum likelihood estimation/unknown covariance/weighted maximum likelihood estimation/weighted sum-of-norms clustering

Key words

Data-based filter/maximum likelihood estimation/unknown covariance/weighted maximum likelihood estimation/weighted sum-of-norms clustering

引用本文复制引用

Elham Javanfar,Mehdi Rahmani..Data-Based Filters for Non-Gaussian Dynamic Sys-tems With Unknown Output Noise Covariance[J].自动化学报(英文版),2024,11(4):866-877,12.

自动化学报(英文版)

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