Batch State Estimation
Batch State Estimation is a computational method within batch process control systems that characterizes the temporal evolution of process variables by reconstructing unmeasurable internal states from limited, time-vary data, distinguishing itself through its focus on the finite-duration, repeatable dynamics inherent to batch operations.
76
Publications
4K
Citations
164
Authors
85
Institutions
Publications per year
2017–2026
20
76
1–5 of 76
164
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Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 226 citations
6
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6
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6
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4
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1–5 of 164
85
ETH Zurich
Zurich, Switzerland
8 h-index
14 publications
3K citations

University of Toronto
Toronto, Canada
8 h-index
17 publications
973 citations

McMaster University
Hamilton, Canada
8 h-index
18 publications
1.1K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
5 h-index
16 publications
660 citations
Board of the Swiss Federal Institutes of Technology
Zurich, Switzerland
4 h-index
6 publications
896 citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
235 citations
Jiangnan University
Wuxi, China
3 h-index
7 publications
201 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
4 publications
154 citations
1–8 of 85
11 publications · 715 citations
11
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9 publications · 497 citations
9
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8 publications · 265 citations
8
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2 publications · 59 citations
2
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IJRR · 2 publications · 79 citations
2
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