Multivariable System Identification

Multivariable System Identification is a system identification methodology that characterizes the dynamic behavior of multiple interrelated input-output variables within a unified mathematical framework, distinguishing itself from univariate approaches by explicitly accounting for cross-couplings and interactions among variables in multivariable processes.

500

Publications

25K

Citations

940

Authors

365

Institutions

Publications per year

2017–2026

84

Authors

940

  1. FD
    Feng Ding

    Jiangnan University, China

    37 publications · 3.8K citations

    25

    h-index

  2. LX
    Ling Xu

    Jiangnan University, China

    11 publications · 780 citations

    12

    h-index

  3. LL
    Lennart Ljung

    Linköping University, Sweden

    12 publications · 2.1K citations

    12

    h-index

  4. MV
    Michel Verhaegen

    Delft University of Technology, Netherlands

    11 publications · 759 citations

    10

    h-index

  5. DE
    Daniel E. Rivera

    Arizona State University, United States

    9 publications · 425 citations

    9

    h-index

1–5 of 940

Venues

  1. Automatica

    56 publications · 5.6K citations

    32

    h-index

  2. IEEE Transactions on Automatic Control

    39 publications · 3K citations

    25

    h-index

  3. Journal of Process Control

    20 publications · 1.2K citations

    18

    h-index

  4. International Journal of Control

    18 publications · 1.3K citations

    16

    h-index

  5. IFAC Proceedings Volumes

    27 publications · 610 citations

    16

    h-index

1–5