Batch Process Parameter Estimation
Batch Process Parameter Estimation is a computational method within the field of process systems engineering that involves the systematic determination of unknown model parameters in batch process models by minimizing the discrepancy between observed process data and model predictions under constrained, time-varying operating conditions.
73
Publications
2.7K
Citations
183
Authors
90
Institutions
Publications per year
2017–2026
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Huaiping Jin, Xiangguang Chen, Jianwen Yang et al. · Chemical Engineering Science · 2015 · 80 citations
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Hong Kong University of Science and Technology, Hong Kong SAR China
4 publications · 299 citations
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Hong Kong University of Science and Technology, Hong Kong SAR China
3 publications · 75 citations
3
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Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
12 publications
685 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
4 h-index
12 publications
685 citations

Zhejiang University
Hangzhou, China
4 h-index
9 publications
174 citations
ETH Zurich
Zurich, Switzerland
3 h-index
7 publications
345 citations
Jiangnan University
Wuxi, China
3 h-index
6 publications
144 citations
Guangzhou HKUST Fok Ying Tung Research Institute
Guangzhou, China
3 h-index
3 publications
75 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
4 publications
61 citations

University of Alberta
Edmonton, Canada
3 h-index
6 publications
144 citations
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13 publications · 455 citations
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10 publications · 343 citations
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7 publications · 310 citations
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