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Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation

Ke Li Shunyi Zhao Biao Huang Fei Liu

自动化学报（英文版）2024，Vol.11Issue(5)：1239-1249,11.

自动化学报（英文版）2024，Vol.11Issue(5)：1239-1249,11.DOI:10.1109/JAS.2023.124137

Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation

Ke Li ¹Shunyi Zhao ¹Biao Huang ²Fei Liu¹

作者信息

1. Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education),Institute of Automation,Jiangnan University,Wuxi 214122,China
2. Department of Chemical and Materials Engineering,University of Alberta,Edmonton AB T6G 2G6,Canada
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摘要

关键词

Bayesian estimation/error compensation/high-dimensional systems/state estimation/state partition

Key words

Bayesian estimation/error compensation/high-dimensional systems/state estimation/state partition

引用本文复制引用

Ke Li,Shunyi Zhao,Biao Huang,Fei Liu..Bayesian Filtering for High-Dimensional State-Space Models With State Partition and Error Compensation[J].自动化学报（英文版）,2024,11(5):1239-1249,11.

基金项目

This work was supported in part by the National Key R&D Program of China(2022YFC3401303),the Natural Science Foundation of Jiangsu Province(BK20211528),and the Postgraduate Research&Practi-ce Innovation Program of Jiangsu Province(KFCX22_2300). （2022YFC3401303）

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