Adaptive Dynamic Control

Adaptive Dynamic Control is a control framework within manipulator dynamics that belongs to the class of adaptive control methods, distinguished by its ability to continuously adjust control parameters in real-time based on online estimation of dynamic model uncertainties to ensure accurate trajectory tracking despite unknown or varying system dynamics.

244

Publications

10.5K

Citations

674

Authors

297

Institutions

Publications per year

2017–2026

115

Authors

674

  1. NH
    Naira Hovakimyan

    University of Illinois Urbana-Champaign, United States

    5 publications · 150 citations

    5

    h-index

  2. EL
    Eugene Lavretsky

    Boeing (United States), United States

    5 publications · 150 citations

    5

    h-index

  3. RC
    Ricardo Carelli

    National University of San Juan, Argentina

    5 publications · 415 citations

    5

    h-index

  4. BD
    Bo Dong

    Changchun University of Technology

    3 publications · 75 citations

    4

    h-index

  5. DL
    Derong Liu

    Chinese Academy of Sciences, China

    4 publications · 504 citations

    4

    h-index

1–5 of 674

Venues

  1. International Journal of Control

    8 publications · 446 citations

    8

    h-index

  2. Journal of the Franklin Institute

    7 publications · 206 citations

    7

    h-index

  3. Nonlinear Dynamics

    6 publications · 231 citations

    6

    h-index

  4. International Journal of Robust and Nonlinear Control

    IJRCEA · 4 publications · 144 citations

    5

    h-index

  5. 5

    h-index

1–5