An Improved Method for Stochastic Nonlinear System's Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein-Wiener Model Based on Gradient Algorithm, Multi-Innovation, and Data Filtering Techniques

Donia Ben Halima Abid, Saif Eddine Abouda, Hanène Medhaffar, Mohamed Chtourou. An Improved Method for Stochastic Nonlinear System's Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein-Wiener Model Based on Gradient Algorithm, Multi-Innovation, and Data Filtering Techniques. Complexity, 2021, 2021. [doi]

@article{AbidAMC21,
  title = {An Improved Method for Stochastic Nonlinear System's Identification Using Fuzzy-Type Output-Error Autoregressive Hammerstein-Wiener Model Based on Gradient Algorithm, Multi-Innovation, and Data Filtering Techniques},
  author = {Donia Ben Halima Abid and Saif Eddine Abouda and Hanène Medhaffar and Mohamed Chtourou},
  year = {2021},
  doi = {10.1155/2021/8525090},
  url = {https://doi.org/10.1155/2021/8525090},
  researchr = {https://researchr.org/publication/AbidAMC21},
  cites = {0},
  citedby = {0},
  journal = {Complexity},
  volume = {2021},
}