Identification Of Distributed Parameter Systems

Identification of Distributed Parameter Systems is a methodology within system identification that specifically addresses the estimation of mathematical models describing systems whose states vary continuously in both space and time, distinguished from lumped parameter system identification by its reliance on partial differential equations to capture spatiotemporal dynamics.

179

Publications

9.3K

Citations

296

Authors

160

Institutions

Publications per year

2017–2026

22

Authors

296

  1. HL
    Han‐Xiong Li

    City University of Hong Kong, Hong Kong SAR China

    16 publications · 885 citations

    15

    h-index

  2. CQ
    Chenkun Qi

    Shanghai Jiao Tong University, China

    6 publications · 566 citations

    6

    h-index

  3. WH
    W. Harmon Ray

    University of Wisconsin–Madison, United States

    6 publications · 294 citations

    6

    h-index

  4. KA
    Karlene A. Hoo

    Texas Tech University, United States

    5 publications · 339 citations

    5

    h-index

  5. IG
    I. G. Rosen

    University of Southern California, United States

    5 publications · 222 citations

    5

    h-index

1–5 of 296

Venues

  1. International Journal of Control

    13 publications · 695 citations

    12

    h-index

  2. IEEE Transactions on Automatic Control

    11 publications · 784 citations

    11

    h-index

  3. Automatica

    9 publications · 749 citations

    9

    h-index

  4. International Journal of Systems Science

    9 publications · 244 citations

    9

    h-index

  5. Computers & Chemical Engineering

    8 publications · 636 citations

    8

    h-index

1–5