Scalable Control Laws

Scalable Control Laws is a decentralized control framework that enables control policies to maintain performance and stability as the size or complexity of the networked system increases, by ensuring that control computations and communication requirements grow sublinearly with system scale.

33

Publications

3.1K

Citations

83

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

83

  1. MJ
    Mikael Johansson

    KTH Royal Institute of Technology, Sweden

    2 publications · 77 citations

    2

    h-index

  2. JR
    John R. Beaumont

    University of Leeds, United Kingdom

    2 publications · 249 citations

    2

    h-index

  3. MA
    Michael Athans

    Massachusetts Institute of Technology, United States

    2 publications · 1.1K citations

    2

    h-index

  4. KY
    Keyou You

    Tsinghua University, China

    2 publications · 198 citations

    2

    h-index

  5. HR
    Hamid Reza Feyzmahdavian

    KTH Royal Institute of Technology, Sweden

    2 publications · 77 citations

    2

    h-index

1–5 of 83

Venues

  1. IFAC Proceedings Volumes

    4 publications · 81 citations

    4

    h-index

  2. 2

    h-index

  3. Automatica

    2 publications · 118 citations

    2

    h-index

  4. Journal of the Operational Research Society

    OR · 2 publications · 249 citations

    2

    h-index

  5. IEEE Transactions on Automatic Control

    2 publications · 1.1K citations

    2

    h-index

1–5