Self-optimizing Control

Self-Optimizing Control is a control strategy within real-time optimization that autonomously adjusts manipulated variables to maintain optimal operation by minimizing performance degradation caused by disturbances and uncertainties without requiring repeated re-optimization.

185

Publications

9.3K

Citations

450

Authors

191

Institutions

Publications per year

2017–2026

46

Authors

450

  1. SS
    Sigurd Skogestad

    Norwegian University of Science and Technology, Norway

    22 publications · 1.9K citations

    16

    h-index

  2. YC
    Yi Cao

    Cranfield University, United Kingdom

    13 publications · 581 citations

    12

    h-index

  3. LY
    Lingjian Ye

    Ningbo University of Technology, China

    11 publications · 285 citations

    11

    h-index

  4. YL
    Yaoyu Li

    The University of Texas at Dallas, United States

    7 publications · 218 citations

    7

    h-index

  5. VK
    Vinay Kariwala

    Nanyang Technological University, Singapore

    7 publications · 449 citations

    7

    h-index

1–5 of 450

Venues

  1. Industrial & Engineering Chemistry Research

    19 publications · 1.2K citations

    15

    h-index

  2. Journal of Process Control

    11 publications · 916 citations

    11

    h-index

  3. Computers & Chemical Engineering

    8 publications · 311 citations

    8

    h-index

  4. IFAC Proceedings Volumes

    6 publications · 152 citations

    6

    h-index

  5. Control Engineering Practice

    4 publications · 195 citations

    4

    h-index

1–5