Identification of Wiener–Hammerstein systems by ℓ1–constrained Volterra series

Author:

Łagosz S.,Śliwiński P.,Wachel P.

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Identification of a modified Wiener–Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling;Bai;Automatica,2009

2. Theory of separable processes with application to the identification of non-linear systems;Billings;Proc. IEE,1978

3. Regularized nonparametric Volterra kernel estimation;Birpoutsoukis;Automatica,2017

4. Nonparametric volterra kernel estimation using regularization;Birpoutsoukis,2015

5. Fading memory and the problem of approximating nonlinear operators with Volterra series;Boyd;IEEE Trans. Circuits Syst.,1985

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wiener–Hammerstein nonlinear system identification using spectral analysis;International Journal of Robust and Nonlinear Control;2022-04-07

2. Learning low-dimensional separable decompositions of MIMO non-linear systems;International Journal of Control;2021-12-27

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