Process State Estimation

Process State Estimation is a computational method within bioprocess control that belongs to the class of process monitoring techniques, distinguished by its reliance on mathematical models and available measurements to infer the internal dynamic variables of a bioprocess that cannot be directly observed.

455

Publications

22K

Citations

1.1K

Authors

428

Institutions

Publications per year

2017–2026

100

Authors

1.1K

  1. MA
    Michael A. Demetriou

    Worcester Polytechnic Institute, United States

    7 publications · 246 citations

    7

    h-index

  2. BH
    Biao Huang

    University of Alberta, Canada

    6 publications · 222 citations

    7

    h-index

  3. RS
    Rimvydas Simutis

    Kaunas University of Technology, Lithuania

    6 publications · 258 citations

    6

    h-index

  4. CH
    Christoph Herwig

    TU Wien, Austria

    3 publications · 197 citations

    5

    h-index

  5. ZG
    Zhiqiang Ge

    State Key Laboratory of Industrial Control Technology

    4 publications · 306 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Journal of Process Control

    40 publications · 3.9K citations

    26

    h-index

  2. AIChE Journal

    24 publications · 2.2K citations

    20

    h-index

  3. Computers & Chemical Engineering

    29 publications · 2.3K citations

    20

    h-index

  4. Industrial & Engineering Chemistry Research

    19 publications · 605 citations

    15

    h-index

  5. Automatica

    14 publications · 1.6K citations

    13

    h-index

1–5