System Identification

System Identification is the academic discipline within systems modeling and process control that systematically develops and validates mathematical models of dynamic systems based on observed input-output data, distinguishing itself from other modeling approaches by its reliance on empirical data rather than first-principles analysis.

19.8K

Publications

1.1M

Citations

31.8K

Authors

4.8K

Institutions

Publications per year

2017–2026

4.7K

Authors

31.8K

  1. FD
    Feng Ding

    Jiangnan University, China

    258 publications · 21.8K citations

    90

    h-index

  2. LL
    Lennart Ljung

    Linköping University, Sweden

    188 publications · 18.4K citations

    64

    h-index

  3. LX
    Ling Xu

    Jiangnan University, China

    55 publications · 5.6K citations

    44

    h-index

  4. MV
    Michel Verhaegen

    Delft University of Technology, Netherlands

    104 publications · 7.5K citations

    42

    h-index

  5. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    86 publications · 9.5K citations

    41

    h-index

1–5 of 31.8K

Venues

  1. Automatica

    873 publications · 83.7K citations

    136

    h-index

  2. IEEE Transactions on Automatic Control

    812 publications · 65.2K citations

    125

    h-index

  3. International Journal of Control

    411 publications · 29.7K citations

    82

    h-index

  4. IEEE Transactions on Power Systems

    276 publications · 19.9K citations

    75

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 377 publications · 21.9K citations

    70

    h-index

1–5