Iterative Feedback Tuning

Iterative Feedback Tuning is a data-driven control optimization method that iteratively refines controller parameters by minimizing a predefined performance criterion using closed-loop system input-output data, without requiring an explicit plant model.

112

Publications

5.8K

Citations

266

Authors

125

Institutions

Publications per year

2017–2026

22

Authors

266

  1. MG
    M. Gevers

    UCLouvain, Belgium

    13 publications · 1.5K citations

    12

    h-index

  2. HH
    Håkan Hjalmarsson

    KTH Royal Institute of Technology, Sweden

    14 publications · 1.9K citations

    11

    h-index

  3. RP
    Radu‐Emil Precup

    Polytechnic University of Timişoara, Romania

    9 publications · 547 citations

    9

    h-index

  4. ȘP
    Ștefan Preitl

    Polytechnic University of Timişoara, Romania

    9 publications · 547 citations

    9

    h-index

  5. EM
    Emil M. Petriu

    University of Ottawa, Canada

    6 publications · 338 citations

    6

    h-index

1–5 of 266

Venues

  1. IFAC Proceedings Volumes

    10 publications · 406 citations

    10

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  2. Control Engineering Practice

    7 publications · 400 citations

    7

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    5 publications · 383 citations

    5

    h-index

  4. 5

    h-index

  5. 3

    h-index

1–5