Decomposition-based recursive least squares algorithm for Wiener nonlinear feedback FIR-MA systems using the filtering theory

DOI10.1007/s00034-014-9806-5zbMath1341.93110OpenAlexW2154989651MaRDI QIDQ736331

Ziyun Wang, Yan Wang, Zhicheng Ji

Publication date: 3 August 2016

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-014-9806-5

zbMATH Keywords

system identificationWiener modelfiltering theorykey-term decompositionrecursive least squares algorithms

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24)

Related Items

Hierarchical least squares algorithms for nonlinear feedback system modeling, Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering

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