Narx Model Identification

NARX Model Identification is the systematic process of determining the structure and parameters of a Nonlinear Autoregressive with eXogenous inputs (NARX) model through data-driven estimation techniques to represent dynamic systems in discrete time.

245

Publications

9.6K

Citations

697

Authors

292

Institutions

Publications per year

2017–2026

101

Authors

697

  1. LP
    Luigi Piroddi

    Politecnico di Milano, Italy

    11 publications · 563 citations

    10

    h-index

  2. SB
    S.A. Billings

    University of Sheffield, United Kingdom

    11 publications · 517 citations

    10

    h-index

  3. AI
    Ahmad Ihsan Mohd Yassin

    Universiti Teknologi MARA, Malaysia

    8 publications · 151 citations

    8

    h-index

  4. MN
    Mohd Nasir Taib

    Universiti Teknologi MARA, Malaysia

    7 publications · 107 citations

    7

    h-index

  5. HW
    Hua‐Liang Wei

    University of Sheffield, United Kingdom

    6 publications · 193 citations

    6

    h-index

1–5 of 697

Venues

  1. International Journal of Control

    9 publications · 1.2K citations

    9

    h-index

  2. IFAC-PapersOnLine

    6 publications · 279 citations

    6

    h-index

  3. Automatica

    5 publications · 193 citations

    5

    h-index

  4. Sensors

    4 publications · 168 citations

    4

    h-index

  5. Mechanical Systems and Signal Processing

    MSSP · 4 publications · 138 citations

    4

    h-index

1–5