Wiener system identification by input injection method

DOI10.1002/acs.3124zbMath1467.93320OpenAlexW3034951555MaRDI QIDQ5000729

Paweł Wachel, Grzegorz Mzyk

Publication date: 15 July 2021

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.3124

zbMATH Keywords

system identificationnonparametric methodsWiener system

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Related Items

Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling, Fuzzy-weighted differential evolution computing paradigm for fractional order nonlinear Wiener systems

Cites Work

• Unnamed Item
• The recursive least squares identification algorithm for a class of Wiener nonlinear systems
• Nonlinear predictive control of dynamic systems represented by Wiener-Hammerstein models
• Block-oriented nonlinear system identification
• Kernel-based identification of Wiener-Hammerstein system
• Identification of Hammerstein-Wiener models
• Initializing Wiener-Hammerstein models based on partitioning of the best linear approximation
• Maximum likelihood identification of Wiener models
• Direct identification of the linear block in Wiener system
• Wiener system modelling by exponentially weighted aggregation
• Nonparametric System Identification
• On Nonparametric Identification of Wiener Systems
• Combined Parametric–Nonparametric Identification of Hammerstein Systems
• Nonparametric Input Density-Free Estimation of the Nonlinearity in Wiener Systems
• System identification of a class of Wiener systems with hysteretic nonlinearities
• A bibliography on nonlinear system identification.