Multivariable Feedback Control

Multivariable Feedback Control is a control system design methodology that employs feedback from multiple interrelated inputs and outputs to regulate the behavior of a dynamic system, distinguished from single-variable approaches by explicitly accounting for coupling effects and interactions among multiple control variables within a unified framework.

422

Publications

24.5K

Citations

781

Authors

319

Institutions

Publications per year

2017–2026

15

Authors

781

  1. AM
    A.G.J. MacFarlane

    University of Cambridge, United Kingdom

    9 publications · 652 citations

    9

    h-index

  2. MA
    Michael Athans

    Massachusetts Institute of Technology, United States

    7 publications · 1.2K citations

    7

    h-index

  3. JF
    J.S. Freudenberg

    University of Michigan, United States

    6 publications · 231 citations

    6

    h-index

  4. ED
    E.J. Davison

    University of Toronto, Canada

    6 publications · 168 citations

    6

    h-index

  5. BP
    B. Porter

    University of Salford, United Kingdom

    6 publications · 137 citations

    6

    h-index

1–5 of 781

Venues

  1. IEEE Transactions on Automatic Control

    47 publications · 6.3K citations

    27

    h-index

  2. Automatica

    30 publications · 2.4K citations

    23

    h-index

  3. International Journal of Control

    48 publications · 1.9K citations

    23

    h-index

  4. Journal of Process Control

    13 publications · 684 citations

    11

    h-index

  5. 11

    h-index

1–5