Comment on 'A quasi-ARMAX approach to the modelling of non-linear systems' by J. Hu et al.

DOI10.1080/00207170110089789zbMath1101.93332OpenAlexW2109120862MaRDI QIDQ3151505

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Publication date: 16 October 2002

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170110089789

Mathematics Subject Classification ID

Related Items (4)

Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models ⋮ Identification of state-dependent parameter models with support vector regression ⋮ A unified approach to environmental systems modeling ⋮ Application of a least absolute shrinkage and selection operator to aeroelastic flight test data

Cites Work

• Nonlinear black-box modeling in system identification: A unified overview
• A Quasi-ARMAX approach to modelling of non-linear systems
• Identification of non-linear stochastic systems by state dependent parameter estimation
• Refined instrumental variable methods of recursive time-series analysis Part I. Single input, single output systems

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