Parametric identification of parallel Wiener-Hammerstein systems
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Publication:2342520
DOI10.1016/j.automatica.2014.10.105zbMath1309.93174arXiv1708.06543OpenAlexW2066666591MaRDI QIDQ2342520
Maarten Schoukens, Anna Marconato, Gerd Vandersteen, Rik Pintelon, Yves Rolain
Publication date: 28 April 2015
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.06543
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items (7)
Recursive least squares algorithm for nonlinear dual-rate systems using missing-output estimation model ⋮ Twin support vector machine method for identification of Wiener models ⋮ Structure discrimination in block-oriented models using linear approximations: a theoretic framework ⋮ Identification of block-oriented nonlinear systems starting from linear approximations: a survey ⋮ A novel two-stage estimation algorithm for nonlinear Hammerstein-Wiener systems from noisy input and output data ⋮ Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models ⋮ Recursive identification for multi-input–multi-output Hammerstein–Wiener system
Uses Software
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