Model-based Process Control

Model-Based Process Control is a process control strategy that employs a mathematical model of the drying system to predict and regulate drying dynamics during secondary drying, distinguishing it from empirical or rule-based control methods by relying on first-principles or data-driven system representations for real-time decision-making.

380

Publications

13.9K

Citations

1.1K

Authors

397

Institutions

Publications per year

2017–2026

94

Authors

1.1K

  1. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    5 publications · 128 citations

    5

    h-index

  2. PD
    Pascal Dufour

    Centre National de la Recherche Scientifique, France

    5 publications · 327 citations

    5

    h-index

  3. RR
    R. Russell Rhinehart

    Texas Tech University, United States

    5 publications · 144 citations

    5

    h-index

  4. AB
    Antonello Barresi

    Politecnico di Torino, Italy

    4 publications · 148 citations

    4

    h-index

  5. DF
    Davide Fissore

    Politecnico di Torino, Italy

    4 publications · 148 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. Computers & Chemical Engineering

    19 publications · 910 citations

    16

    h-index

  2. Control Engineering Practice

    16 publications · 636 citations

    16

    h-index

  3. Industrial & Engineering Chemistry Research

    18 publications · 574 citations

    14

    h-index

  4. Drying Technology

    16 publications · 503 citations

    14

    h-index

  5. Journal of Process Control

    13 publications · 539 citations

    13

    h-index

1–5