Identification of Nonlinear Systems Structured by Hammerstein-Wiener Model
| Main Authors: | A. Brouri, F. Giri, A. Mkhida, A. Elkarkri, M. L. Chhibat |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2014
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| Online Access: |
https://zenodo.org/record/2660495 |
Daftar Isi:
- Standard Hammerstein-Wiener models consist of a linear subsystem sandwiched by two memoryless nonlinearities. Presently, the linear subsystem is allowed to be parametric or not, continuous- or discrete-time. The input and output nonlinearities are polynomial and may be noninvertible. A two-stage identification method is developed such the parameters of all nonlinear elements are estimated first using the Kozen-Landau polynomial decomposition algorithm. The obtained estimates are then based upon in the identification of the linear subsystem, making use of suitable pre-ad post-compensators.