Identification for Hammerstein nonlinear systems based on universal spline fractional order LMS algorithm

Author:

Cheng SongsongORCID,Wei YihengORCID,Sheng Dian,Wang YongORCID

Funder

National Postdoctoral Program for Innovative Talents

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Anhui Provincial Natural Science Foundation

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Modelling and Simulation,Numerical Analysis

Reference31 articles.

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

2. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models;Hunter;Biol Cybern,1986

3. Identification of Hammerstein nonlinear ARMAX systems;Ding;Automatica,2005

4. Gradient-based identification methods for Hammerstein nonlinear ARMAX models;Ding;Nonlinear Dyn,2005

5. Multiinnovation least-squares identification for system modeling;Ding;IEEE Trans Syst Man Cybern–Part B,2010

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