Online Parameter Estimation
Online Parameter Estimation is a parameter estimation method that belongs to the class of real-time estimation techniques, distinguished by its ability to recursively update model parameters continuously as new process data becomes available during bioprocess operation.
861
Publications
43.8K
Citations
2.6K
Authors
852
Institutions
Publications per year
2017–2026
331
861
International Journal of Control · 2013 · 996 citations · Full text
Random forest regression for online capacity estimation of lithium-ion batteries
Yi Li, Changfu Zou, Maitane Berecibar et al. · Applied Energy · 2018 · 719 citations
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852

Centre National de la Recherche Scientifique
Paris, France
17 h-index
55 publications
4.5K citations
Tsinghua University
Beijing, China
14 h-index
54 publications
2.3K citations

Shanghai Jiao Tong University
Shanghai, China
12 h-index
44 publications
1.1K citations
Aalborg University
Aalborg, Denmark
11 h-index
12 publications
763 citations
Nanyang Technological University
Singapore, Singapore
11 h-index
17 publications
1.4K citations

Huazhong University of Science and Technology
Wuhan, China
11 h-index
37 publications
1.7K citations

Imperial College London
London, United Kingdom
11 h-index
21 publications
634 citations

Beijing Institute of Technology
Beijing, China
10 h-index
26 publications
2.9K citations
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38 publications · 4.4K citations
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30 publications · 2.2K citations
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25 publications · 1.1K citations
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20 publications · 1.8K citations
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19 publications · 914 citations
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