Model Predictive Impedance Control

Model Predictive Impedance Control is a control strategy that belongs to the class of impedance control methods, distinguished by its use of predictive models to optimize future impedance behavior over a finite horizon while accounting for system dynamics and constraints.

10

Publications

514

Citations

34

Authors

19

Institutions

Publications per year

2017–2026

6

Authors

34

  1. SJ
    Stefan Jakubek

    TU Wien, Austria

    2 publications · 102 citations

    2

    h-index

  2. MZ
    Mario Zedda

    Fraunhofer Institute for Solar Energy Systems, Germany

    1 publications · 79 citations

    1

    h-index

  3. JK
    Jérôme Krämer

    University of Freiburg, Germany

    1 publications · 79 citations

    1

    h-index

  4. ZJ
    Zhehao Jin

    Zhejiang University of Technology, China

    1 publications · 63 citations

    1

    h-index

  5. AA
    Asad Ali Shahid

    Politecnico di Milano, Italy

    1 publications · 73 citations

    1

    h-index

1–5 of 34

Venues

  1. IEEE Transactions on Industrial Electronics

    2 publications · 102 citations

    2

    h-index

  2. Robotics and Autonomous Systems

    1 publications · 37 citations

    1

    h-index

  3. IEEE Transactions on Cognitive and Developmental Systems

    TCDS · 1 publications · 34 citations

    1

    h-index

  4. Artificial Intelligence

    1 publications · 73 citations

    1

    h-index

  5. IEEE/ASME Transactions on Mechatronics

    1 publications · 63 citations

    1

    h-index

1–5