Relative Gain Analysis

Relative Gain Analysis is a systematic method in multivariable process control that quantifies the interaction between input-output pairings in a control system through the calculation of relative gain elements, thereby enabling optimal variable assignment by distinguishing highly interacting from minimally interacting control loops.

214

Publications

8.3K

Citations

622

Authors

253

Institutions

Publications per year

2017–2026

37

Authors

622

  1. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    5 publications · 193 citations

    5

    h-index

  2. YA
    Yaman Arkun

    Georgia Institute of Technology, United States

    5 publications · 410 citations

    5

    h-index

  3. SS
    Sigurd Skogestad

    Norwegian University of Science and Technology, Norway

    4 publications · 205 citations

    4

    h-index

  4. JC
    Jie Chen

    University of California, Riverside, United States

    4 publications · 75 citations

    4

    h-index

  5. ZZ
    Zhongxiang Zhu

    Western University, Canada

    3 publications · 76 citations

    3

    h-index

1–5 of 622

Venues

  1. Industrial & Engineering Chemistry Research

    17 publications · 489 citations

    15

    h-index

  2. AIChE Journal

    13 publications · 712 citations

    13

    h-index

  3. International Journal of Control

    4 publications · 81 citations

    4

    h-index

  4. IEEE Transactions on Automatic Control

    4 publications · 107 citations

    4

    h-index

  5. 3

    h-index

1–5