Efficient parameterisation of nonlinear system models: a comment on Nöel and Schoukens (2018)

DOI10.1080/00207179.2018.1521008zbMath1451.93066OpenAlexW2890815917MaRDI QIDQ5134305

Alexandre Janot, Peter C. Young

Publication date: 16 November 2020

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://eprints.lancs.ac.uk/id/eprint/127385/1/IJC_2018_1_.pdf

zbMATH Keywords

system identificationcontinuous-time modelnonlinear modellingefficient parameterisationsilverbox system

Mathematics Subject Classification ID

Rods (beams, columns, shafts, arches, rings, etc.) (74K10) System identification (93B30) Nonlinear systems in control theory (93C10)

Uses Software

• CAPTAIN

Cites Work

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• Identification of nonlinear systems using polynomial nonlinear state space models
• Recursive prediction error identification and scaling of non-linear state space models using a restricted Black box parameterization
• Recursive Estimation and Time-Series Analysis
• Identification of non-linear stochastic systems by state dependent parameter estimation
• STATE-DEPENDENT MODELS: A GENERAL APPROACH TO NON-LINEAR TIME SERIES ANALYSIS
• Grey-box state-space identification of nonlinear mechanical vibrations
• Identification and control of electro-mechanical systems using state-dependent parameter estimation

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