Adaptive Identification

Adaptive Identification is a process identification method that dynamically adjusts its structure or parameters in real time to account for changes in system behavior, distinguishing itself from conventional identification techniques through its reliance on adaptive control principles to maintain accuracy in non-stationary environments.

496

Publications

26.9K

Citations

1.1K

Authors

494

Institutions

Publications per year

2017–2026

104

Authors

1.1K

  1. KS
    Kumpati S. Narendra

    Yale University, United States

    10 publications · 1.2K citations

    10

    h-index

  2. LL
    Louis L. Whitcomb

    Johns Hopkins University, United States

    9 publications · 337 citations

    9

    h-index

  3. ID
    Ioan Doré Landau

    Centre National de la Recherche Scientifique, France

    8 publications · 471 citations

    8

    h-index

  4. NB
    N.J. Bershad

    University of California, Irvine, United States

    7 publications · 327 citations

    7

    h-index

  5. BD
    Brian D. O. Anderson

    Australian National University, Australia

    7 publications · 767 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Automatic Control

    34 publications · 4.4K citations

    24

    h-index

  2. IEEE Transactions on Signal Processing

    25 publications · 1.8K citations

    19

    h-index

  3. Automatica

    19 publications · 1.5K citations

    17

    h-index

  4. International Journal of Control

    11 publications · 666 citations

    11

    h-index

  5. 10

    h-index

1–5