Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space-Reference-Cited by-同舟云学术

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Tuning-Free Bayesian Estimation Algorithms for Faulty Sensor Signals in State-Space

Published:2023-01 Issue:1 Volume:70 Page:921-929
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zhao Shunyi¹^ORCID,Li Ke¹^ORCID,Ahn Choon Ki²^ORCID,Huang Biao³^ORCID,Liu Fei¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China

2. School of Electrical Engineering, Korea University, Seoul, South Korea

3. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/9866919/09729525.pdf?arnumber=9729525

Reference36 articles.

1. Robust control for an electro-mechanical anti-lock braking system: the CRONE approach

2. Online Model Selection Based on the Variational Bayes

3. An Improved Iterative FIR State Estimator and Its Applications

4. Estimation of KL Divergence: Optimal Minimax Rate

5. Iterative Maximum Likelihood FIR Estimation of Dynamic Systems With Improved Robustness

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