Adaptive Control Models

Adaptive Control Models is a control-oriented modeling approach that belongs to the class of dynamic system control methods, distinguished by its capacity to iteratively adjust model parameters or control laws in response to evolving system dynamics or uncertainties through real-time feedback and learning mechanisms.

148

Publications

8.2K

Citations

332

Authors

172

Institutions

Publications per year

2017–2026

27

Authors

332

  1. KS
    Kumpati S. Narendra

    Yale University, United States

    7 publications · 693 citations

    7

    h-index

  2. SS
    Seyed Shahabaldin Tohidi

    Bilkent University, Türkiye

    2 publications · 22 citations

    2

    h-index

  3. RM
    R. Marino

    University of Rome Tor Vergata, Italy

    2 publications · 85 citations

    2

    h-index

  4. AS
    Andrea Serrani

    The Ohio State University, United States

    2 publications · 148 citations

    2

    h-index

  5. MM
    M. Margolis

    HRL Laboratories (United States), United States

    2 publications · 61 citations

    2

    h-index

1–5 of 332

Venues

  1. Automatica

    7 publications · 328 citations

    7

    h-index

  2. IEEE Transactions on Automatic Control

    6 publications · 606 citations

    6

    h-index

  3. IFAC Proceedings Volumes

    3 publications · 42 citations

    3

    h-index

  4. ISA Transactions

    3 publications · 100 citations

    3

    h-index

  5. Journal of Process Control

    3 publications · 60 citations

    3

    h-index

1–5