System Identification For Dynamics

System Identification for Dynamics is a methodological framework within dynamic response analysis that distinguishes itself by enabling the derivation of mathematical models of physical systems from observed input-output data to characterize their dynamic behavior.

581

Publications

26.9K

Citations

1.3K

Authors

553

Institutions

Publications per year

2017–2026

125

Authors

1.3K

  1. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    10 publications · 215 citations

    10

    h-index

  2. RP
    Rik Pintelon

    Vrije Universiteit Brussel, Belgium

    9 publications · 342 citations

    9

    h-index

  3. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    7 publications · 472 citations

    7

    h-index

  4. AG
    Arne G. Dankers

    Eindhoven University of Technology, Netherlands

    7 publications · 142 citations

    7

    h-index

  5. KG
    K.R. Godfrey

    University of Warwick, United Kingdom

    7 publications · 249 citations

    7

    h-index

1–5 of 1.3K

Venues

  1. Mechanical Systems and Signal Processing

    MSSP · 35 publications · 3.4K citations

    23

    h-index

  2. Automatica

    21 publications · 1.2K citations

    17

    h-index

  3. IEEE Transactions on Automatic Control

    18 publications · 928 citations

    17

    h-index

  4. International Journal of Control

    16 publications · 503 citations

    13

    h-index

  5. Nonlinear Dynamics

    13 publications · 373 citations

    12

    h-index

1–5