Adaptive Decentralized Control

Adaptive Decentralized Control is a control framework that belongs to the class of decentralized control methods and is distinguished by its ability to autonomously adjust local control policies in response to dynamic changes in system topology or environmental conditions without reliance on global information.

329

Publications

21.6K

Citations

676

Authors

285

Institutions

Publications per year

2017–2026

130

Authors

676

  1. YL
    Yongming Li

    Liaoning University of Technology, China

    15 publications · 1.8K citations

    15

    h-index

  2. ST
    Shaocheng Tong

    Liaoning University of Technology, China

    13 publications · 1.6K citations

    13

    h-index

  3. HW
    Huanqing Wang

    Bohai University, China

    14 publications · 947 citations

    13

    h-index

  4. CW
    Changyun Wen

    Nanyang Technological University, Singapore

    12 publications · 933 citations

    12

    h-index

  5. SJ
    Sung Jin Yoo

    Chung-Ang University, South Korea

    8 publications · 368 citations

    8

    h-index

1–5 of 676

Venues

  1. Automatica

    18 publications · 1.9K citations

    17

    h-index

  2. IEEE Transactions on Automatic Control

    17 publications · 2.6K citations

    17

    h-index

  3. Neurocomputing

    16 publications · 656 citations

    16

    h-index

  4. IEEE Transactions on Fuzzy Systems

    TFS · 15 publications · 2.6K citations

    15

    h-index

  5. International Journal of Control

    12 publications · 419 citations

    11

    h-index

1–5