Process Variable Selection

Process Variable Selection is a method within the field of control systems engineering that identifies and designates the primary and secondary measurable variables to be regulated in a cascade control architecture, distinguishing itself from other control design methods by its explicit hierarchical structuring of feedback loops to improve disturbance rejection and setpoint tracking.

69

Publications

2.8K

Citations

239

Authors

112

Institutions

Publications per year

2017–2026

23

Authors

239

  1. CJ
    Chi‐Hyuck Jun

    Pohang University of Science and Technology, South Korea

    3 publications · 71 citations

    3

    h-index

  2. IC
    Il-Gyo Chong

    Pohang University of Science and Technology, South Korea

    2 publications · 52 citations

    2

    h-index

  3. VK
    Vinay Kariwala

    Nanyang Technological University, Singapore

    2 publications · 74 citations

    2

    h-index

  4. SS
    Sigurd Skogestad

    Norwegian University of Science and Technology, Norway

    2 publications · 26 citations

    2

    h-index

  5. JM
    James M. McCloy

    Louisiana State University, United States

    2 publications · 50 citations

    2

    h-index

1–5 of 239

Venues

  1. IFAC Proceedings Volumes

    3 publications · 37 citations

    3

    h-index

  2. 3

    h-index

  3. Industrial & Engineering Chemistry Research

    3 publications · 42 citations

    3

    h-index

  4. 2

    h-index

  5. Analytica Chimica Acta

    2 publications · 175 citations

    2

    h-index

1–5