Wavelet based non-parametric NARX models for nonlinear input–output system identification

DOI10.1080/00207720600903011zbMath1129.93361OpenAlexW2003105196MaRDI QIDQ3437465

Michael A. Balikhin, Stephen A. Billings, Hua-Liang Wei

Publication date: 9 May 2007

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207720600903011

zbMATH Keywords

waveletsadditive modelsnonlinear system identificationnon-parametricNARX model

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Numerical methods for wavelets (65T60)

Related Items (4)

A novel damage detection approach by using Volterra kernel functions based analysis ⋮ Wavelet basis expansion-based Volterra kernel function identification through multilevel excitations ⋮ A comparative study on the identification of the dynamical model of multi-mass electrical drives using wavelet transforms ⋮ Wavelet basis expansion-based spatio-temporal Volterra kernels identification for nonlinear distributed parameter systems

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