On optimal design of experiments for static polynomial approximation of nonlinear systems

DOI10.1016/j.sysconle.2020.104758zbMath1453.93069OpenAlexW3036770564MaRDI QIDQ2203474

P. Schrangl, Laura Giarré

Publication date: 7 October 2020

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2020.104758

zbMATH Keywords

approximationleast squaresnonlinear identificationexperiment design

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Synthesis problems (93B50)

Uses Software

• ElemStatLearn

Cites Work

• On covariance function tests used in system identification
• Dynamic system identification. Experiment design and data analysis
• Quantifying the accuracy of Hammerstein model estimation
• Optimal experimental design and some related control problems
• The elements of statistical learning. Data mining, inference, and prediction
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