Fast approximate identification of nonlinear systems

DOI10.1016/S0005-1098(03)00083-9zbMath1032.93011OpenAlexW2027626689MaRDI QIDQ1398410

J. G. Nemeth, Rik Pintelon, Yves Rolain, Johan Schoukens, Philippe Crama

Publication date: 29 July 2003

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(03)00083-9

zbMATH Keywords

system identificationHammerstein modelWiener modelblock-oriented models

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10)

Related Items (13)

Maximum likelihood identification of Wiener models ⋮ Grey-box state-space identification of nonlinear mechanical vibrations ⋮ A stochastic variational framework for recurrent Gaussian processes models ⋮ Identification of a class of precision motion systems with uncertain hysteretic nonlinearities ⋮ A simplified NARMAX method using nonlinear input-output data ⋮ Identification of Wiener systems with binary-valued output observations ⋮ Subspace identification for non-linear systems with measured-input non-linearities ⋮ Direction-dependent systems - a survey ⋮ A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm ⋮ The analysis of nonlinear systems in the frequency domain using nonlinear output frequency response functions ⋮ Blind maximum likelihood identification of Hammerstein systems ⋮ Computationally efficient identification of continuous-time Lur'e-type systems with stability guarantees ⋮ System identification of Wiener systems with B-spline functions using De Boor recursion

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