A unifying method to construct rational basis functions for linear and nonlinear systems

DOI10.1007/S00034-017-0683-6zbMath1458.93056OpenAlexW2761555127MaRDI QIDQ2312475

Ricardo Schumacher, Gustavo H. C. Oliveira

Publication date: 17 July 2019

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-017-0683-6

zbMATH Keywords

nonlinear system identificationlinear system identificationrational basis functionsstate-space realizations

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Linear systems in control theory (93C05)

Cites Work

• RF power amplifier behavioral modeling based on Takenaka-Malmquist-Volterra series
• Rational basis functions for robust identification from frequency and time-domain measurements
• System identification with generalized orthonormal basis functions
• Wiener system identification with generalized orthonormal basis functions
• Asymmetric Volterra Models Based on Ladder-Structured Generalized Orthonormal Basis Functions
• System identification using Laguerre models
• Generalized Fourier and Toeplitz Results for Rational Orthonormal Bases
• System identification using Kautz models
• A unifying construction of orthonormal bases for system identification
• A generalized orthonormal basis for linear dynamical systems

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