Process Nonlinearity Identification

Process Nonlinearity Identification is a methodological framework within nonlinear process control that systematically characterizes the intrinsic nonlinear dynamic behaviors of a process to distinguish them from linear or time-varying stochastic effects.

215

Publications

9.5K

Citations

504

Authors

203

Institutions

Publications per year

2017–2026

76

Authors

504

  1. XY
    Xuefeng Yan

    East China University of Science and Technology, China

    11 publications · 689 citations

    11

    h-index

  2. QJ
    Qingchao Jiang

    East China University of Science and Technology, China

    8 publications · 557 citations

    8

    h-index

  3. BH
    Biao Huang

    University of Alberta, Canada

    5 publications · 274 citations

    5

    h-index

  4. OT
    Okba Taouali

    University of Monastir, Tunisia

    4 publications · 212 citations

    4

    h-index

  5. MF
    Mohamed Faouzi Harkat

    Badji Mokhtar-Annaba University, Algeria

    4 publications · 205 citations

    4

    h-index

1–5 of 504

Venues

  1. Journal of Process Control

    22 publications · 1.3K citations

    18

    h-index

  2. Computers & Chemical Engineering

    17 publications · 818 citations

    15

    h-index

  3. Industrial & Engineering Chemistry Research

    16 publications · 466 citations

    14

    h-index

  4. Control Engineering Practice

    8 publications · 697 citations

    9

    h-index

  5. 8

    h-index

1–5