Journal ArticleDOI
A blind approach to the hammerstein-wiener model identification
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TLDR
In this paper, a blind approach to the sampled Hammerstein-Wiener model identification is proposed, where all internal variables can be recovered solely based on the output measurements and identification of linear and nonlinear parts can be carried out No a priori structural knowledge about the input nonlinearity is assumed and no white noise assumption is imposed on the input.About:
This article is published in IFAC Proceedings Volumes.The article was published on 2002-01-01. It has received 127 citations till now. The article focuses on the topics: Nonlinear system identification & System identification.read more
Citations
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Journal ArticleDOI
Identification methods for Hammerstein nonlinear systems
TL;DR: A Newton recursive and a Newton iterative identification algorithms are derived by using the Newton method (Newton-Raphson method) to reduce the sensitivity of the projection algorithm to noise, and to improve convergence rates of the SG algorithm.
Journal ArticleDOI
Identification of Hammerstein-Wiener models
TL;DR: A new maximum-likelihood based method for the identification of Hammerstein-Wiener model structures is developed and illustrated that addresses the blind Wiener estimation problem as a special case.
Journal ArticleDOI
Convergence of the iterative Hammerstein system identification algorithm
Er-Wei Bai,Duan Li +1 more
TL;DR: It is shown that the iterative algorithm with normalization is convergent in general and takes place in one step (two least squares iterations) for FIR Hammerstein models with i.i.d. inputs.
Journal ArticleDOI
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
Dongqing Wang,Feng Ding +1 more
TL;DR: An extended stochastic gradient algorithm is developed to estimate the parameters of Hammerstein-Wiener ARMAX models to improve the identification accuracy and results indicate that the parameter estimation errors become small by introducing the forgetting factor.
Journal ArticleDOI
Identification and Control for Heart Rate Regulation During Treadmill Exercise
TL;DR: A novel integrated approach for the identification and control of Hammerstein systems to achieve desired heart rate profile tracking performance for an automated treadmill system and the proposed algorithm achieves much better heart rate tracking performance.