Concepedia

Data-driven Bilateral Control

Data-Driven Bilateral Control is a control framework that belongs to the class of bilateral control systems and is distinguished by its reliance on empirical data to directly inform, adapt, or construct the control laws governing the interaction between two coupled dynamical systems without relying solely on analytical models.

1

Publications

17

Citations

6

Authors

2

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–1 of 1

Authors

6

  1. QD
    Qian Ding

    Tianjin University, China

    1 publications · 17 citations

    1

    h-index

  2. JS
    Jia Su

    Chinese Academy of Sciences, China

    1 publications · 17 citations

    1

    h-index

  3. ZM
    Zhi-Sai Ma

    Tianjin University, China

    1 publications · 17 citations

    1

    h-index

  4. MH
    Meng-Xin He

    Tianjin University, China

    1 publications · 17 citations

    1

    h-index

  5. QY
    Qiang Yin

    Tianjin University, China

    1 publications · 17 citations

    1

    h-index

1–5 of 6

Institutions

2

  1. Northeastern University

    Shenyang, China

    1 h-index

    1 publications

    17 citations

  2. Tianjin University

    Tianjin, China

    1 h-index

    5 publications

    85 citations

1–2 of 2

Venues

  1. International Journal of Dynamics and Control

    1 publications · 17 citations

    1

    h-index

1–1