Adaptive System Identification

Adaptive System Identification is a system identification method that dynamically adjusts its parameters or structure in real time to accurately model time-varying or uncertain systems, distinguishing itself from static identification techniques through its inherent capacity for online learning and continuous refinement.

578

Publications

27.6K

Citations

1.2K

Authors

551

Institutions

Publications per year

2017–2026

98

Authors

1.2K

  1. KS
    Kumpati S. Narendra

    Yale University, United States

    15 publications · 1.5K citations

    13

    h-index

  2. NB
    N.J. Bershad

    University of California, Irvine, United States

    12 publications · 461 citations

    12

    h-index

  3. BD
    Brian D. O. Anderson

    Australian National University, Australia

    7 publications · 773 citations

    7

    h-index

  4. JB
    J.C.M. Bermudez

    Universidade Federal de Santa Catarina, Brazil

    7 publications · 224 citations

    7

    h-index

  5. ID
    Ioan Doré Landau

    Centre National de la Recherche Scientifique, France

    7 publications · 758 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. IEEE Transactions on Automatic Control

    40 publications · 3.3K citations

    28

    h-index

  2. IEEE Transactions on Signal Processing

    40 publications · 1.9K citations

    24

    h-index

  3. Automatica

    20 publications · 1.9K citations

    18

    h-index

  4. 12

    h-index

  5. 11

    h-index

1–5