Nonlinear System Identification

Nonlinear System Identification is the systematic process of constructing mathematical models of dynamic systems from observed data, specifically characterized by its focus on capturing and representing inherently nonlinear behaviors that cannot be adequately described by linear system assumptions.

4.4K

Publications

250.2K

Citations

7.7K

Authors

2.1K

Institutions

Publications per year

2017–2026

979

Authors

7.7K

  1. FD
    Feng Ding

    Jiangnan University, China

    82 publications · 6.8K citations

    47

    h-index

  2. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    54 publications · 4.9K citations

    31

    h-index

  3. LL
    Lennart Ljung

    Linköping University, Sweden

    44 publications · 6.5K citations

    28

    h-index

  4. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    30 publications · 3.3K citations

    23

    h-index

  5. JS
    J. Schoukens

    Vrije Universiteit Brussel, Belgium

    48 publications · 1.7K citations

    23

    h-index

1–5 of 7.7K

Venues

  1. Automatica

    199 publications · 19K citations

    60

    h-index

  2. IEEE Transactions on Automatic Control

    154 publications · 11.7K citations

    58

    h-index

  3. International Journal of Control

    83 publications · 6.8K citations

    40

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 113 publications · 5.9K citations

    39

    h-index

  5. IEEE Transactions on Signal Processing

    79 publications · 3.9K citations

    35

    h-index

1–5