Offset-free Control

Offset-Free Control is a control strategy within Model Predictive Control that belongs to the class of steady-state error compensation methods, distinguished by its explicit incorporation of disturbance models or integral action to ensure asymptotic convergence of the controlled variables to their desired setpoints despite plant-model mismatches or persistent disturbances.

153

Publications

8.5K

Citations

358

Authors

153

Institutions

Publications per year

2017–2026

65

Variants

Offset-free Model Predictive Control

Authors

358

  1. GP
    Gabriele Pannocchia

    University of Pisa, Italy

    12 publications · 1.1K citations

    12

    h-index

  2. SK
    Seok‐Kyoon Kim

    Hanbat National University, South Korea

    8 publications · 239 citations

    8

    h-index

  3. AB
    Alberto Bemporad

    University of Siena, Italy

    6 publications · 724 citations

    6

    h-index

  4. MM
    Manfred Morari

    ETH Zurich, Switzerland

    6 publications · 954 citations

    6

    h-index

  5. JB
    James B. Rawlings

    University of Wisconsin–Madison, United States

    5 publications · 827 citations

    5

    h-index

1–5 of 358

Venues

  1. Journal of Process Control

    10 publications · 774 citations

    10

    h-index

  2. IEEE Transactions on Industrial Electronics

    10 publications · 526 citations

    10

    h-index

  3. Industrial & Engineering Chemistry Research

    10 publications · 291 citations

    10

    h-index

  4. IEEE Transactions on Automatic Control

    7 publications · 793 citations

    7

    h-index

  5. IEEE Transactions on Power Electronics

    7 publications · 732 citations

    7

    h-index

1–5