Nonlinear Robot Control

Nonlinear Robot Control is a control methodology that governs robotic systems exhibiting nonlinear dynamics by explicitly accounting for and compensating their inherent nonlinearities, distinguishing it from linear control techniques that rely on simplified or approximated linear models.

673

Publications

34.4K

Citations

1.6K

Authors

642

Institutions

Publications per year

2017–2026

174

Authors

1.6K

  1. FP
    Farzin Piltan

    University of Ulsan, South Korea

    13 publications · 680 citations

    12

    h-index

  2. FL
    Frank L. Lewis

    The University of Texas at Arlington, United States

    10 publications · 2.3K citations

    10

    h-index

  3. RK
    Rafael Kelly

    Centro de Investigación Científica y de Educación Superior de Ensenada, Mexico

    6 publications · 517 citations

    6

    h-index

  4. AB
    A.K. Bejczy

    Jet Propulsion Laboratory, United States

    6 publications · 714 citations

    6

    h-index

  5. TT
    T.J. Tarn

    Washington University in St. Louis, United States

    6 publications · 714 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Industrial Electronics

    21 publications · 3.3K citations

    19

    h-index

  2. IEEE Transactions on Control Systems Technology

    14 publications · 1.6K citations

    14

    h-index

  3. International Journal of Control

    15 publications · 568 citations

    13

    h-index

  4. Journal of Robotic Systems

    15 publications · 753 citations

    13

    h-index

  5. Robotica

    14 publications · 419 citations

    11

    h-index

1–5