Adaptive Control

Adaptive Control is a control methodology within dynamic systems theory that, as a subclass of feedback control, continuously modifies its parameters or structure in real time based on online system identification or performance evaluation to maintain optimal regulation or tracking in the presence of uncertainties or time-varying dynamics.

39.9K

Publications

2.1M

Citations

51.8K

Authors

6K

Institutions

Publications per year

2017–2026

16.4K

Authors

51.8K

  1. ST
    Shaocheng Tong

    Liaoning University of Technology, China

    291 publications · 37.3K citations

    107

    h-index

  2. SS
    Shuzhi Sam Ge

    National University of Singapore, Singapore

    225 publications · 29.9K citations

    87

    h-index

  3. CL
    C. L. Philip Chen

    South China University of Technology, China

    204 publications · 22.2K citations

    85

    h-index

  4. PS
    Peng Shi

    The University of Adelaide, Australia

    167 publications · 18.2K citations

    79

    h-index

  5. CW
    Changyun Wen

    Nanyang Technological University, Singapore

    154 publications · 19.5K citations

    74

    h-index

1–5 of 51.8K

Venues

  1. IEEE Transactions on Automatic Control

    1.2K publications · 131.9K citations

    183

    h-index

  2. Automatica

    987 publications · 125.3K citations

    174

    h-index

  3. IEEE Transactions on Cybernetics

    610 publications · 66K citations

    146

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 600 publications · 68.2K citations

    144

    h-index

  5. IEEE Transactions on Industrial Electronics

    740 publications · 72.8K citations

    143

    h-index

1–5