Process Interaction Measures

Process Interaction Measures is a quantitative metric used in multivariable control systems to characterize the degree of coupling and dynamic interdependence among multiple input-output pairs within a process, distinguishing it from general control performance metrics by specifically isolating interaction effects that affect control loop coordination and decentralization decisions.

59

Publications

4.7K

Citations

148

Authors

68

Institutions

Publications per year

2017–2026

11

Authors

148

  1. WB
    William B. Stiles

    Miami University, United States

    2 publications · 379 citations

    2

    h-index

  2. JL
    Jietae Lee

    Kyungpook National University, South Korea

    2 publications · 43 citations

    2

    h-index

  3. HR
    Hamid Reza Shaker

    University of Southern Denmark, Denmark

    2 publications · 38 citations

    2

    h-index

  4. MH
    Mao-Jun He

    Nanyang Technological University, Singapore

    2 publications · 60 citations

    2

    h-index

  5. TF
    Thomas F. Edgar

    The University of Texas at Austin, United States

    2 publications · 43 citations

    2

    h-index

1–5 of 148

Venues

  1. Industrial & Engineering Chemistry Research

    5 publications · 118 citations

    5

    h-index

  2. Journal of Consulting and Clinical Psychology

    4 publications · 661 citations

    4

    h-index

  3. PubMed

    Repository · 3 publications · 136 citations

    3

    h-index

  4. 2

    h-index

  5. 1

    h-index

1–5