Interaction Measure

Interaction Measure is a quantitative metric used in multivariable control systems to classify the degree of coupling between input-output pairs, distinguishing itself by providing a numerical basis for assessing the extent to which control loops influence one another in decentralized control design.

89

Publications

5.8K

Citations

191

Authors

117

Institutions

Publications per year

2017–2026

20

Authors

191

  1. YA
    Yaman Arkun

    Georgia Institute of Technology, United States

    4 publications · 233 citations

    4

    h-index

  2. ZZ
    Zhongxiang Zhu

    Western University, Canada

    3 publications · 74 citations

    3

    h-index

  3. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    3 publications · 55 citations

    3

    h-index

  4. HR
    Hamid Reza Shaker

    University of Southern Denmark, Denmark

    3 publications · 61 citations

    3

    h-index

  5. JL
    Jietae Lee

    Kyungpook National University, South Korea

    3 publications · 55 citations

    3

    h-index

1–5 of 191

Venues

  1. AIChE Journal

    9 publications · 502 citations

    9

    h-index

  2. Industrial & Engineering Chemistry Research

    8 publications · 185 citations

    8

    h-index

  3. Physical review. D/Physical review. D.

    PRD · 3 publications · 52 citations

    3

    h-index

  4. Automatica

    3 publications · 373 citations

    3

    h-index

  5. IEEE Transactions on Automatic Control

    3 publications · 1.5K citations

    3

    h-index

1–5