Process Gain Matrix Analysis

Process Gain Matrix Analysis is a systematic method in multivariable process dynamics that characterizes the steady-state input-output relationships of a multi-input multi-output system by quantifying the directional gains between manipulated inputs and controlled outputs, enabling the assessment of interaction, pairing, and control structure design.

9

Publications

313

Citations

25

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

25

  1. ST
    Stefania Tronci

    University of Cagliari, Italy

    1 publications · 12 citations

    1

    h-index

  2. KH
    Karl Henrik Johansson

    KTH Royal Institute of Technology, Sweden

    1 publications · 83 citations

    1

    h-index

  3. FX
    Fangwei Xu

    University of Alberta, Canada

    1 publications · 59 citations

    1

    h-index

  4. KS
    K. S. R. Anjaneyulu

    National Institute of Technology Warangal, India

    1 publications · 10 citations

    1

    h-index

  5. BH
    Biao Huang

    University of Alberta, Canada

    1 publications · 59 citations

    1

    h-index

1–5 of 25

Venues

  1. Industrial & Engineering Chemistry Research

    3 publications · 88 citations

    3

    h-index

  2. Journal of Process Control

    2 publications · 40 citations

    2

    h-index

  3. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 10 citations

    1

    h-index

  4. IEEE Transactions on Automatic Control

    1 publications · 51 citations

    1

    h-index

  5. PLoS ONE

    1 publications · 41 citations

    1

    h-index

1–5