Multi-input Multi-output System Identification

Multi-Input Multi-Output System Identification is a system identification methodology that characterizes dynamic systems with multiple inputs and multiple outputs by estimating a mathematical model that captures the underlying input-output behavior based on observed data, distinguishing itself from single-input single-output approaches by accounting for cross-channel interactions and multivariate dynamics.

191

Publications

11.5K

Citations

445

Authors

213

Institutions

Publications per year

2017–2026

26

Variants

Mimo System Identification

Authors

445

  1. FD
    Feng Ding

    Jiangnan University, China

    10 publications · 1.1K citations

    10

    h-index

  2. MO
    M. O. Tokhi

    University of Sheffield, United Kingdom

    7 publications · 198 citations

    7

    h-index

  3. SA
    S.M. Ahmad

    University of Sheffield, United Kingdom

    6 publications · 163 citations

    6

    h-index

  4. AC
    A.J. Chipperfield

    University of Southampton, United Kingdom

    6 publications · 163 citations

    6

    h-index

  5. AP
    Athina P. Petropulu

    Rutgers, The State University of New Jersey, United States

    5 publications · 109 citations

    5

    h-index

1–5 of 445

Venues

  1. IEEE Transactions on Signal Processing

    15 publications · 2.2K citations

    15

    h-index

  2. International Journal of Control

    10 publications · 914 citations

    10

    h-index

  3. IEEE Transactions on Automatic Control

    9 publications · 1.2K citations

    9

    h-index

  4. IET Control Theory and Applications

    7 publications · 388 citations

    7

    h-index

  5. 7

    h-index

1–5