Distributed Model Predictive Control

Distributed Model Predictive Control is a control framework that decomposes a large-scale Model Predictive Control problem into smaller, interacting subproblems solved by individual agents or subsystems, enabling coordinated decision-making through local optimization and information exchange while ensuring system-wide constraints and performance objectives are satisfied.

670

Publications

36.2K

Citations

1.5K

Authors

470

Institutions

Publications per year

2017–2026

383

Authors

1.5K

  1. SL
    Shaoyuan Li

    Shanghai Jiao Tong University, China

    24 publications · 1.2K citations

    19

    h-index

  2. BD
    Bart De Schutter

    Delft University of Technology, Netherlands

    22 publications · 1.3K citations

    18

    h-index

  3. RR
    Rudy R. Negenborn

    Delft University of Technology, Netherlands

    21 publications · 1.5K citations

    18

    h-index

  4. JM
    J. M. Maestre

    Universidad de Sevilla, Spain

    22 publications · 1.3K citations

    17

    h-index

  5. YS
    Yang Shi

    University of Victoria, Canada

    14 publications · 1.3K citations

    14

    h-index

1–5 of 1.5K

Venues

  1. Journal of Process Control

    27 publications · 1.7K citations

    21

    h-index

  2. Automatica

    18 publications · 1.5K citations

    18

    h-index

  3. IEEE Transactions on Automatic Control

    18 publications · 1.2K citations

    17

    h-index

  4. IEEE Transactions on Smart Grid

    18 publications · 1.5K citations

    17

    h-index

  5. 17

    h-index

1–5