Transfer Function Approximation

Transfer Function Approximation is a mathematical modeling technique that belongs to the class of system identification methods, distinguished by its purpose of deriving a simplified, often reduced-order, representation of a system's input-output behavior in the frequency domain while preserving essential dynamic characteristics of the original transfer function.

531

Publications

28.1K

Citations

949

Authors

468

Institutions

Publications per year

2017–2026

63

Authors

949

  1. CH
    Chyi Hwang

    National Cheng Kung University, Taiwan

    10 publications · 308 citations

    10

    h-index

  2. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    8 publications · 804 citations

    8

    h-index

  3. JR
    J. R. Partington

    University of Leeds, United Kingdom

    8 publications · 376 citations

    8

    h-index

  4. BD
    Brian D. O. Anderson

    Australian National University, Australia

    8 publications · 306 citations

    8

    h-index

  5. TJ
    Todd J. Freeborn

    University of Alabama, United States

    7 publications · 454 citations

    7

    h-index

1–5 of 949

Venues

  1. IEEE Transactions on Automatic Control

    44 publications · 4K citations

    24

    h-index

  2. Automatica

    22 publications · 2K citations

    19

    h-index

  3. International Journal of Control

    29 publications · 4.1K citations

    18

    h-index

  4. IEEE Transactions on Signal Processing

    14 publications · 762 citations

    14

    h-index

  5. IEEE Transactions on Circuits and Systems

    13 publications · 448 citations

    12

    h-index

1–5