Model Predictive Control

Model Predictive Control is a control strategy that belongs to the class of advanced feedback control methods, distinguished by its use of dynamic models to predict system behavior over a finite horizon and to optimize current control actions while explicitly incorporating constraints on inputs, outputs, and states.

16.6K

Publications

846K

Citations

28.5K

Authors

4K

Institutions

Publications per year

2017–2026

8.3K

Authors

28.5K

  1. JR
    José Rodríguez

    Federico Santa María Technical University, Chile

    269 publications · 28.4K citations

    75

    h-index

  2. MM
    Manfred Morari

    ETH Zurich, Switzerland

    163 publications · 26.8K citations

    63

    h-index

  3. FB
    Francesco Borrelli

    University of California, Berkeley, United States

    89 publications · 11.5K citations

    51

    h-index

  4. AB
    Alberto Bemporad

    University of Siena, Italy

    134 publications · 10K citations

    51

    h-index

  5. FA
    Frank Allgöwer

    University of Stuttgart, Germany

    121 publications · 10.6K citations

    50

    h-index

1–5 of 28.5K

Venues

  1. IEEE Transactions on Industrial Electronics

    522 publications · 54.6K citations

    122

    h-index

  2. IEEE Transactions on Power Electronics

    330 publications · 29.8K citations

    98

    h-index

  3. Automatica

    314 publications · 49.7K citations

    94

    h-index

  4. IEEE Transactions on Control Systems Technology

    310 publications · 31K citations

    93

    h-index

  5. IEEE Transactions on Automatic Control

    252 publications · 21.9K citations

    81

    h-index

1–5