Robust Control Models

Robust Control Models is a class of control-oriented models designed to maintain system stability and performance in the presence of uncertainties, disturbances, and model inaccuracies, distinguished by their explicit incorporation of bounded perturbations and worst-case scenario analysis within their predictive structure.

204

Publications

12.6K

Citations

490

Authors

268

Institutions

Publications per year

2017–2026

50

Authors

490

  1. RS
    Roy S. Smith

    ETH Zurich, Switzerland

    9 publications · 309 citations

    9

    h-index

  2. LP
    Lars Peter Hansen

    University of Chicago, United States

    5 publications · 2K citations

    5

    h-index

  3. GE
    Geir E. Dullerud

    University of Illinois Urbana-Champaign, United States

    4 publications · 154 citations

    4

    h-index

  4. TJ
    Thomas J. Sargent

    New York University, United States

    4 publications · 2K citations

    4

    h-index

  5. DM
    D.Q. Mayne

    Imperial College London, United Kingdom

    3 publications · 232 citations

    3

    h-index

1–5 of 490

Venues

  1. Automatica

    22 publications · 2.5K citations

    20

    h-index

  2. Journal of Process Control

    18 publications · 619 citations

    14

    h-index

  3. IFAC Proceedings Volumes

    9 publications · 388 citations

    9

    h-index

  4. SSRN Electronic Journal

    Repository · 6 publications · 167 citations

    6

    h-index

  5. IEEE Transactions on Automatic Control

    5 publications · 182 citations

    5

    h-index

1–5