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

Authors

164

  1. TD
    Timothy D. Barfoot

    University of Toronto, Canada

    7 publications · 517 citations

    7

    h-index

  2. FG
    Furong Gao

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

    6 publications · 226 citations

    6

    h-index

  3. PF
    Paul Furgale

    ETH Zurich, Switzerland

    6 publications · 1.2K citations

    6

    h-index

  4. CH
    Chi Hay Tong

    University of Toronto, Canada

    6 publications · 355 citations

    6

    h-index

  5. JF
    John F. MacGregor

    McMaster University, Canada

    4 publications · 468 citations

    4

    h-index

1–5 of 164

Venues

  1. Journal of Process Control

    11 publications · 715 citations

    11

    h-index

  2. Chemical Engineering Science

    9 publications · 497 citations

    9

    h-index

  3. Computers & Chemical Engineering

    8 publications · 265 citations

    8

    h-index

  4. 2

    h-index

  5. The International Journal of Robotics Research

    IJRR · 2 publications · 79 citations

    2

    h-index

1–5