A fractional approach to identify Wiener-Hammerstein systems

DOI10.1016/j.automatica.2013.12.013zbMath1298.93345OpenAlexW2033306805MaRDI QIDQ462378

Laurent Vanbeylen

Publication date: 20 October 2014

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2013.12.013

zbMATH Keywords

nonlinear modelsblock-oriented nonlinear modelsinitial estimatesWiener-Hammerstein model

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (5)

Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering ⋮ Identification of block-oriented nonlinear systems starting from linear approximations: a survey ⋮ WH-EA: an evolutionary algorithm for Wiener-Hammerstein system identification ⋮ An improved method for Wiener-Hammerstein system identification based on the fractional approach ⋮ Fuzzy-weighted differential evolution computing paradigm for fractional order nonlinear Wiener systems

Uses Software

• Wiener-Hammerstein Benchmark

Cites Work

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• Identification of linear systems with nonlinear distortions
• Identification of a modified Wiener-Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Frequency domain system identification with missing data
• A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers

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