Model Reference Adaptive Control

Model Reference Adaptive Control is a control methodology within adaptive control systems wherein a dynamical model, termed the reference model, specifies the desired closed-loop system behavior, and the adaptive mechanism continuously adjusts the controller parameters to minimize the discrepancy between the actual plant output and the reference model output.

1.7K

Publications

81.4K

Citations

3.1K

Authors

1.1K

Institutions

Publications per year

2017–2026

429

Variants

Mrac

Authors

3.1K

  1. ID
    Ioan Doré Landau

    Centre National de la Recherche Scientifique, France

    21 publications · 1.3K citations

    17

    h-index

  2. GT
    Gang Tao

    University of Virginia, United States

    28 publications · 1.3K citations

    17

    h-index

  3. PI
    Pétros Ioannou

    University of Southern California, United States

    18 publications · 7.1K citations

    16

    h-index

  4. EL
    Eugene Lavretsky

    Boeing (United States), United States

    22 publications · 1.6K citations

    16

    h-index

  5. TY
    Tansel Yucelen

    University of South Florida, United States

    22 publications · 1.2K citations

    15

    h-index

1–5 of 3.1K

Venues

  1. IEEE Transactions on Automatic Control

    118 publications · 12.4K citations

    53

    h-index

  2. IEEE Transactions on Industrial Electronics

    59 publications · 5.2K citations

    38

    h-index

  3. International Journal of Control

    70 publications · 3K citations

    28

    h-index

  4. IEEE Transactions on Power Electronics

    26 publications · 2K citations

    24

    h-index

  5. Journal of Guidance Control and Dynamics

    28 publications · 2K citations

    21

    h-index

1–5