Worst-case Control

Worst-Case Control is a robust control strategy that synthesizes controllers to guarantee system performance under the most adverse, yet plausible, disturbances and model uncertainties, distinguishing itself by optimizing for the worst possible scenario within a specified uncertainty set.

27

Publications

2.6K

Citations

65

Authors

35

Institutions

Publications per year

2017–2026

2

Variants

Minimax Control

Authors

65

  1. IR
    Ian R. Petersen

    Australian Defence Force Academy, Australia

    2 publications · 77 citations

    2

    h-index

  2. CJ
    Claire J. Tomlin

    University of California, Berkeley, United States

    1 publications · 40 citations

    1

    h-index

  3. SB
    Stephen Boyd

    Stanford University, United States

    1 publications · 136 citations

    1

    h-index

  4. PK
    Petr Kozák

    University of Toronto, Canada

    1 publications · 53 citations

    1

    h-index

  5. DW
    D.L. Waring

    1 publications · 42 citations

    1

    h-index

1–5 of 65

Venues

  1. IEEE Transactions on Automatic Control

    5 publications · 1.4K citations

    5

    h-index

  2. Information Sciences

    1 publications · 78 citations

    1

    h-index

  3. The International Journal of Robotics Research

    IJRR · 1 publications · 192 citations

    1

    h-index

  4. 1

    h-index

  5. Automatica

    1 publications · 65 citations

    1

    h-index

1–5