Smith Predictor Tuning

Smith Predictor Tuning is a controller tuning method that incorporates a predictive model of the process dynamics, including time delays, to enhance closed-loop performance by explicitly compensating for the delay in the control action through a feedback correction mechanism based on the difference between predicted and actual outputs.

124

Publications

5.3K

Citations

286

Authors

122

Institutions

Publications per year

2017–2026

32

Authors

286

  1. JE
    Julio E. Normey‐Rico

    Universidade Federal de Santa Catarina, Brazil

    7 publications · 223 citations

    7

    h-index

  2. FJ
    Fernando J. Castillo-García

    University of Castilla-La Mancha, Spain

    5 publications · 207 citations

    5

    h-index

  3. RR
    R. Rivas‐Perez

    Polytechnic José Antonio Echeverría, Cuba

    5 publications · 207 citations

    5

    h-index

  4. VF
    V. Feliú

    University of Castilla-La Mancha, Spain

    5 publications · 207 citations

    5

    h-index

  5. İK
    İbrahim Kaya

    Dicle University, Türkiye

    4 publications · 291 citations

    4

    h-index

1–5 of 286

Venues

  1. ISA Transactions

    12 publications · 477 citations

    12

    h-index

  2. Industrial & Engineering Chemistry Research

    10 publications · 380 citations

    10

    h-index

  3. Journal of Process Control

    7 publications · 375 citations

    7

    h-index

  4. IEEE Transactions on Automatic Control

    5 publications · 1.3K citations

    5

    h-index

  5. IFAC Proceedings Volumes

    4 publications · 67 citations

    4

    h-index

1–5