Task-space Adaptive Control

Task-Space Adaptive Control is a control methodology that belongs to the class of adaptive control techniques, differentiating itself by explicitly adjusting control parameters in real time based on dynamic uncertainties and tracking errors represented in the task-space rather than joint-space.

33

Publications

1.5K

Citations

73

Authors

32

Institutions

Publications per year

2017–2026

8

Authors

73

  1. CC
    Chien Chern Cheah

    Nanyang Technological University, Singapore

    6 publications · 243 citations

    6

    h-index

  2. GF
    Gang Feng

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 64 citations

    3

    h-index

  3. MM
    Mohammad Mehdi Fateh

    University of Shahrood, Iran

    3 publications · 84 citations

    3

    h-index

  4. ET
    Enver Tatlıcıoğlu

    Izmir Institute of Technology, Türkiye

    2 publications · 68 citations

    2

    h-index

  5. RG
    Reza Gholipour

    Babol Noshirvani University of Technology, Iran

    2 publications · 51 citations

    2

    h-index

1–5 of 73

Venues

  1. IEEE Transactions on Automatic Control

    4 publications · 247 citations

    4

    h-index

  2. IEEE Transactions on Industrial Electronics

    2 publications · 238 citations

    2

    h-index

  3. Automatica

    2 publications · 102 citations

    2

    h-index

  4. International Journal of Control

    2 publications · 153 citations

    2

    h-index

  5. Robotica

    2 publications · 32 citations

    2

    h-index

1–5