Finite model order accuracy in Hammerstein model estimation

DOI10.1016/j.automatica.2012.06.067zbMath1310.93078OpenAlexW2055532621MaRDI QIDQ361048

Jonas Mårtensson, Håkan Hjalmarsson

Publication date: 28 August 2013

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-102847

zbMATH Keywords

system identificationHammerstein modelsprediction error identificationasymptotic covariance

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Cites Work

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• Making parametric Hammerstein system identification a linear problem
• On the accuracy in errors-in-variables identification compared to prediction-error identification
• Iterative identification of Hammerstein systems
• Revisiting Hammerstein system identification through the two-stage algorithm for bilinear parameter estimation
• The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
• An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
• Linear approximations of nonlinear FIR systems for separable input processes
• Quantifying the accuracy of Hammerstein model estimation
• Identification of MIMO Hammerstein models using least squares support vector machines
• Blind maximum likelihood identification of Hammerstein systems
• Identification of Hammerstein nonlinear ARMAX systems
• Asymptotic properties of least-squares estimates of Hammerstein-Wiener models
• Identification of discrete Hammerstein systems using kernel regression estimates
• The fundamental role of general orthonormal bases in system identification
• Identification of Hammerstein models for control using ASYM
• Parametric Identification of Hammerstein Systems With Consistency Results Using Stochastic Inputs
• Variance Error Quantifications That Are Exact for Finite-Model Order
• A Geometric Approach to Variance Analysis in System Identification