Model-based Control Dynamics

Model-Based Control Dynamics is a control methodology that employs an analytical model of system dynamics, particularly derived from Newton-Euler formulations, to predict and regulate the motion of mechanical systems through feedback laws informed by the system's physical structure and dynamic equations.

25

Publications

796

Citations

93

Authors

47

Institutions

Publications per year

2017–2026

8

Authors

93

  1. MS
    Myroslav Shysh

    Otto-von-Guericke-Universität Magdeburg, Germany

    1 publications · 15 citations

    1

    h-index

  2. FA
    Faraz Ahmed

    Michigan State University, United States

    1 publications · 14 citations

    1

    h-index

  3. BG
    Bingwei Gao

    Harbin University of Science and Technology, China

    1 publications · 17 citations

    1

    h-index

  4. BB
    Bob Broughton

    University of Canterbury, New Zealand

    1 publications · 30 citations

    1

    h-index

  5. MM
    Michele Magno

    ETH Zurich, Switzerland

    1 publications · 26 citations

    1

    h-index

1–5 of 93

Venues

  1. Mechatronics

    2 publications · 144 citations

    2

    h-index

  2. Nonlinear studies

    1 publications · 14 citations

    1

    h-index

  3. Assembly Automation

    1 publications · 17 citations

    1

    h-index

  4. Journal of Robotics

    JR · 1 publications · 93 citations

    1

    h-index

  5. Biological Cybernetics

    1 publications · 51 citations

    1

    h-index

1–5