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State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning

Shuang Gao Xiaoli Luan Biao Huang Shunyi Zhao Fei Liu

自动化学报（英文版）2026，Vol.13Issue(3)：715-727,13.

自动化学报（英文版）2026，Vol.13Issue(3)：715-727,13.DOI:10.1109/JAS.2025.125825

State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning

Shuang Gao ¹Xiaoli Luan ¹Biao Huang ²Shunyi Zhao ¹Fei Liu¹

作者信息

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),the Institute of Automation,Jiangnan University,Wuxi 214122,China
2. Department of Chemical and Materials Engineering,University of Alberta,Edmonton T6G 1H9,Canada
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摘要

关键词

Markovian jump linear systems/parameter uncer-tainty/state estimation/structure variational inference/transfer learning

Key words

Markovian jump linear systems/parameter uncer-tainty/state estimation/structure variational inference/transfer learning

引用本文复制引用

Shuang Gao,Xiaoli Luan,Biao Huang,Shunyi Zhao,Fei Liu..State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning[J].自动化学报（英文版）,2026,13(3):715-727,13.

基金项目

This work was supported by the National Natural Science Foundation of China(62503201),the Basic Research Program of Jiangsu(BK20251595),the China Postdoctoral Science Foundation(2025M771693),the Postdoctoral Fellowship Program of the China Postdoctoral Science Foundation(GZC20251168),and the Fundamental Research Funds for the Central Universities(JUSRP202501067). （62503201）

自动化学报（英文版）

ISSN：2329-9266

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