Volterra-type models for nonlinear systems identification

DOI10.1016/J.APM.2013.10.041zbMath1427.93254OpenAlexW2017714815MaRDI QIDQ1630175

J. L. Figueroa, C. A. Schmidt, S. I. Biagiola, Juan E. Cousseau

Publication date: 7 December 2018

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2013.10.041

zbMATH Keywords

Hammerstein modelWiener modelnonlinear identificationVolterra-type models

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

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Cites Work

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• Identification of nonlinear systems using neural networks and polynomial models. A block-oriented approach.
• On approximation of stable linear dynamical systems using Laguerre and Kautz functions
• Wiener and Hammerstein uncertain models identification
• Fading memory and the problem of approximating nonlinear operators with Volterra series
• System identification using Kautz models
• A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers

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