New identification method for Hammerstein models based on approximate least absolute deviation

DOI10.1080/00207721.2014.980366zbMath1345.93161OpenAlexW2085094553MaRDI QIDQ2822267

Ying-Dan Zhang, Bao-chang Xu

Publication date: 30 September 2016

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

Full work available at URL: https://doi.org/10.1080/00207721.2014.980366

zbMATH Keywords

robustnessstochastic approximationHammerstein nonlinear modelsapproximate least absolute deviationdisorder and peak noises

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (1)

Improved closed-loop subspace identification with prior information

Cites Work

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• Strong consistency of recursive identification for Hammerstein systems with discontinuous piecewise-linear memoryless block
• Adaptive Digital Control of Hammerstein Nonlinear Systems with Limited Output Sampling

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