Steady-state Real-time Optimization

Steady-State Real-Time Optimization is a real-time optimization framework that belongs to the class of steady-state optimization methods, distinguished by its focus on driving a process to its optimal steady-state operation while continuously accounting for disturbances and model inaccuracies through online measurement-based updates.

16

Publications

505

Citations

43

Authors

21

Institutions

Publications per year

2017–2026

9

Authors

43

  1. AR
    Argimiro R. Secchi

    Universidade Federal do Rio de Janeiro, Brazil

    2 publications · 32 citations

    3

    h-index

  2. AM
    A.G. Marchetti

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 113 citations

    3

    h-index

  3. DB
    Dominique Bonvin

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 35 citations

    2

    h-index

  4. MB
    Maurício B. de Souza

    Universidade Federal do Rio de Janeiro, Brazil

    1 publications · 18 citations

    2

    h-index

  5. JM
    José Matias

    Norwegian University of Science and Technology, Norway

    1 publications · 31 citations

    2

    h-index

1–5 of 43

Venues

  1. Journal of Process Control

    3 publications · 127 citations

    4

    h-index

  2. IFAC-PapersOnLine

    3 publications · 49 citations

    3

    h-index

  3. Computers & Chemical Engineering

    2 publications · 105 citations

    2

    h-index

  4. Industrial & Engineering Chemistry Research

    2 publications · 59 citations

    2

    h-index

  5. Powder Technology

    1 publications · 59 citations

    1

    h-index

1–5