Adaptive filtering scheme for parameter identification of nonlinear Wiener–Hammerstein systems and its application
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology, Beijing, People's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2019.1566634
Reference48 articles.
1. A blind approach to the Hammerstein–Wiener model identification
2. State-space analysis and identification for a class of hysteretic systems
3. On the identification of Hammerstein systems in the presence of an input hysteretic nonlinearity with nonlocal memory: Piezoelectric actuators – an experimental case study
4. Hammerstein system identification through best linear approximation inversion and regularisation
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