Wiener Model Identification

Wiener Model Identification is a methodological framework within nonlinear system identification that distinguishes itself by structuring a dynamic system as a cascade of a linear time-invariant subsystem followed by a static nonlinear function to model input-output behavior.

240

Publications

10.9K

Citations

482

Authors

219

Institutions

Publications per year

2017–2026

49

Authors

482

  1. TW
    Torbjörn Wigren

    Uppsala University, Sweden

    10 publications · 564 citations

    10

    h-index

  2. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    8 publications · 316 citations

    8

    h-index

  3. EB
    Er‐Wei Bai

    University of Iowa, United States

    7 publications · 607 citations

    7

    h-index

  4. JF
    J.L. Figueroa

    Universidad Nacional del Sur, Argentina

    7 publications · 323 citations

    7

    h-index

  5. JV
    Jozef Vörös

    Slovak University of Technology in Bratislava, Slovakia

    5 publications · 326 citations

    5

    h-index

1–5 of 482

Venues

  1. Automatica

    19 publications · 1.6K citations

    18

    h-index

  2. IFAC Proceedings Volumes

    13 publications · 341 citations

    11

    h-index

  3. Industrial & Engineering Chemistry Research

    8 publications · 204 citations

    8

    h-index

  4. Nonlinear Dynamics

    7 publications · 221 citations

    7

    h-index

  5. Journal of Process Control

    7 publications · 507 citations

    7

    h-index

1–5