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Kernel-based Continuous-Time Identification of Hammerstein Models: Application to the case of Ankle Joint Stiffness Dynamics

Assalone, A.
•
Pin, G.
•
PARISINI, Thomas
2015
  • conference object

Abstract
This paper deals with a new practical approach to continuous-time parametric identification for dynamic models in Hammerstein form and its application in the context of estimating the dynamics of joint stiffness. The proposed methodology deals the static non-linearities as a linear combination of nonlinear basis functions, while the linear dynamic parts of the system are modeled by a parametric rational transfer function. The proposed identification method is enabled by the algebra of Volterra linear integral operators by a suitable design of kernels admitting finite-dimensional and internally stable statespace realizations. Simulation results show the effectiveness of the proposed continuous-time identification technique.
DOI
10.1109/ECC.2015.7330835
WOS
WOS:000380485400319
Archivio
http://hdl.handle.net/11368/2847828
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84963813206
http://ieeexplore.ieee.org/document/7330835/
Diritti
closed access
license:digital rights management non definito
FVG url
https://arts.units.it/request-item?handle=11368/2847828
Soggetti
  • Estimation

Scopus© citazioni
2
Data di acquisizione
Jun 7, 2022
Vedi dettagli
google-scholar
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