Stochastic Model Predictive Control

Stochastic Model Predictive Control is a model predictive control framework that incorporates probabilistic descriptions of uncertainties in system dynamics or disturbances, distinguishing itself from deterministic variants by optimizing control actions with respect to chance constraints and stochastic cost functionals.

361

Publications

19.1K

Citations

859

Authors

310

Institutions

Publications per year

2017–2026

208

Variants

Stochastic Mpc

Authors

859

  1. AM
    Ali Mesbah

    University of California, Berkeley, United States

    14 publications · 1.8K citations

    13

    h-index

  2. MC
    Mark Cannon

    University of Oxford, United Kingdom

    14 publications · 974 citations

    13

    h-index

  3. AB
    Alberto Bemporad

    University of Siena, Italy

    12 publications · 1.2K citations

    11

    h-index

  4. JL
    John Lygeros

    ETH Zurich, Switzerland

    9 publications · 374 citations

    9

    h-index

  5. BK
    B. Kouvaritakis

    University of Oxford, United Kingdom

    9 publications · 799 citations

    9

    h-index

1–5 of 859

Venues

  1. Automatica

    15 publications · 1.1K citations

    14

    h-index

  2. IFAC-PapersOnLine

    17 publications · 368 citations

    14

    h-index

  3. IEEE Transactions on Automatic Control

    15 publications · 1.1K citations

    14

    h-index

  4. IEEE Transactions on Control Systems Technology

    12 publications · 1.4K citations

    12

    h-index

  5. Applied Energy

    11 publications · 989 citations

    10

    h-index

1–5