Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals

Parameter Estimation of Neuro-Fuzzy Wiener Model With Colored Noise Using Separable Signals

This paper considers a neuro-fuzzy based identification problem for Wiener model with controlled autoregressive moving average noise. The separable signal is applied to decouple the dynamic linear part and the static nonlinear part, and the correlation analysis method is adopted to estimate the para...

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Bibliographic Details
Main Authors: Bensheng Lyu, Li Jia, Feng Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wiener model
separable signal
correlation analysis
stochastic gradient
Online Access:https://ieeexplore.ieee.org/document/9063685/

Internet

https://ieeexplore.ieee.org/document/9063685/

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