Explicit Model Predictive Control

Explicit Model Predictive Control is a model predictive control strategy that precomputes the control law offline as an explicit piecewise affine function of the state, thereby replacing online optimization with real-time function evaluation while preserving optimality and constraint satisfaction.

319

Publications

16.3K

Citations

730

Authors

294

Institutions

Publications per year

2017–2026

111

Variants

Explicit Mpc

Authors

730

  1. MM
    Manfred Morari

    ETH Zurich, Switzerland

    28 publications · 2.3K citations

    21

    h-index

  2. AB
    Alberto Bemporad

    University of Siena, Italy

    19 publications · 1.2K citations

    16

    h-index

  3. TA
    Tor Arne Johansen

    Norwegian University of Science and Technology, Norway

    16 publications · 902 citations

    14

    h-index

  4. MK
    Michal Kvasnica

    Slovak University of Technology in Bratislava, Slovakia

    20 publications · 599 citations

    14

    h-index

  5. EN
    Efstratios N. Pistikopoulos

    Imperial College London, United Kingdom

    15 publications · 555 citations

    13

    h-index

1–5 of 730

Venues

  1. IEEE Transactions on Industrial Electronics

    14 publications · 1.4K citations

    14

    h-index

  2. IEEE Transactions on Automatic Control

    13 publications · 1.3K citations

    12

    h-index

  3. IFAC Proceedings Volumes

    14 publications · 330 citations

    12

    h-index

  4. Automatica

    11 publications · 2.6K citations

    11

    h-index

  5. IEEE Transactions on Control Systems Technology

    12 publications · 591 citations

    11

    h-index

1–5