Dynamic Model Linearization

Dynamic Model Linearization is a mathematical technique used to approximate a nonlinear dynamic system governing Coriolis effects by a linear time-invariant system through first-order Taylor expansion around an operating point, preserving the essential input-output behavior in a localized regime.

245

Publications

13.4K

Citations

645

Authors

285

Institutions

Publications per year

2017–2026

88

Authors

645

  1. ZH
    Zhongsheng Hou

    Beijing Jiaotong University, China

    29 publications · 4.1K citations

    22

    h-index

  2. SJ
    Shangtai Jin

    Beijing Jiaotong University, China

    13 publications · 1.9K citations

    11

    h-index

  3. RC
    Ronghu Chi

    Qingdao University of Science and Technology, China

    8 publications · 902 citations

    8

    h-index

  4. XB
    Xuhui Bu

    Henan Polytechnic University, China

    6 publications · 559 citations

    6

    h-index

  5. BH
    Biao Huang

    University of Alberta, Canada

    5 publications · 352 citations

    5

    h-index

1–5 of 645

Venues

  1. 6

    h-index

  2. IEEE Transactions on Industrial Electronics

    5 publications · 1K citations

    5

    h-index

  3. 5

    h-index

  4. IEEE Transactions on Automatic Control

    5 publications · 987 citations

    5

    h-index

  5. 4

    h-index

1–5