Combined parametric-nonparametric identification of block-oriented systems

DOI10.1007/978-3-319-03596-3zbMath1283.93001OpenAlexW637706679MaRDI QIDQ2437606

Grzegorz Mzyk

Publication date: 4 March 2014

Published in: Lecture Notes in Control and Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-03596-3

Mathematics Subject Classification ID

System identification (93B30) Dynamical systems in control (37N35) Stochastic systems in control theory (general) (93E03) Generation, random and stochastic difference and differential equations (37H10) Approximation methods and numerical treatment of dynamical systems (37M99) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to systems and control theory (93-01)

Related Items (9)

Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models ⋮ Kernel-based identification of Wiener-Hammerstein system ⋮ Identification of block-oriented nonlinear systems starting from linear approximations: a survey ⋮ Outlier robust identification of dual‐rate Hammerstein models in the presence of unmodeled dynamics ⋮ Offset-free state-space nonlinear predictive control for Wiener systems ⋮ Nonlinear model predictive control for processes with complex dynamics: a parameterisation approach using Laguerre functions ⋮ Identification of Wiener models for dynamic and steady‐state performance with application to solid oxide fuel cell ⋮ Direct identification of the linear block in Wiener system ⋮ Kernel Estimation of Wiener–Hammerstein System Nonlinearity

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