Identification of a class of non-linear parametrically varying models

DOI10.1002/acs.730zbMath1021.93008OpenAlexW2143186374MaRDI QIDQ4797967

Fabio Previdi, Lovera, Marco

Publication date: 10 March 2003

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.730

zbMATH Keywords

system identificationneural networknonlinear modelsbiomedical engineeringlinear regressionlinear fractional transformationknee joint dynamicparameter-varying models

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) System identification (93B30) Nonlinear systems in control theory (93C10) Biomechanics (92C10)

Related Items (5)

Identification and control of electro-mechanical systems using state-dependent parameter estimation ⋮ An associative-memory-based method for system nonlinearities recursive estimation ⋮ Causal regression for online estimation of highly nonlinear parametrically varying models ⋮ Identification of non-linear parametrically varying models using separable least squares ⋮ Identification of linear parameter varying models

Cites Work

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• Representations of non-linear systems: the NARMAX model

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