Tube-based Model Predictive Control

Tube-Based Model Predictive Control is a model predictive control framework that belongs to the class of robust predictive control methods, distinguished by its use of a "tube" of trajectories—comprising a nominal trajectory and a bounded set of admissible deviations—to ensure constraint satisfaction and stability in the presence of bounded disturbances.

179

Publications

10.6K

Citations

419

Authors

196

Institutions

Publications per year

2017–2026

114

Variants

Tube-based Mpc

Authors

419

  1. SV
    Saša V. Raković

    Imperial College London, United Kingdom

    12 publications · 1.6K citations

    12

    h-index

  2. FA
    Frank Allgöwer

    University of Stuttgart, Germany

    14 publications · 1K citations

    12

    h-index

  3. BK
    B. Kouvaritakis

    University of Oxford, United Kingdom

    10 publications · 1K citations

    10

    h-index

  4. MC
    Mark Cannon

    University of Oxford, United Kingdom

    10 publications · 1K citations

    10

    h-index

  5. TÁ
    Teodoro Álamo

    Universidad de Sevilla, Spain

    8 publications · 606 citations

    8

    h-index

1–5 of 419

Venues

  1. IEEE Transactions on Automatic Control

    15 publications · 1.3K citations

    14

    h-index

  2. Automatica

    11 publications · 1.5K citations

    11

    h-index

  3. IFAC-PapersOnLine

    12 publications · 269 citations

    11

    h-index

  4. International Journal of Robust and Nonlinear Control

    IJRCEA · 11 publications · 704 citations

    11

    h-index

  5. IEEE Transactions on Industrial Electronics

    5 publications · 496 citations

    5

    h-index

1–5