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

10

Authors

183

  1. DB
    Dominique Bonvin

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 171 citations

    5

    h-index

  2. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    4 publications · 299 citations

    4

    h-index

  3. ZZ
    Zhonggai Zhao

    Jiangnan University, China

    3 publications · 72 citations

    3

    h-index

  4. FL
    Fei Liu

    Jiangnan University, China

    3 publications · 72 citations

    3

    h-index

  5. ZC
    Zhixing Cao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    3 publications · 75 citations

    3

    h-index

1–5 of 183

Venues

  1. Computers & Chemical Engineering

    13 publications · 455 citations

    12

    h-index

  2. Chemical Engineering Science

    10 publications · 343 citations

    10

    h-index

  3. Journal of Process Control

    7 publications · 310 citations

    7

    h-index

  4. Industrial & Engineering Chemistry Research

    6 publications · 176 citations

    6

    h-index

  5. Biotechnology and Bioengineering

    3 publications · 94 citations

    3

    h-index

1–5