Identification of pre-sliding friction dynamics.

@article{Parlitz2004IdentificationOP,
  title={Identification of pre-sliding friction dynamics.},
  author={Ulrich Parlitz and Alexander Hornstein and David Engster and Farid Al-Bender and Vincent Lampaert and Tegoeh Tjahjowidodo and Spilios D. Fassois and Demosthenis D. Rizos and C. X. Wong and Keith Worden and Graeme Manson},
  journal={Chaos},
  year={2004},
  volume={14 2},
  pages={
          420-30
        }
}
The hysteretic nonlinear dependence of pre-sliding friction force on displacement is modeled using different physics-based and black-box approaches including various Maxwell-slip models, NARX models, neural networks, nonparametric (local) models and dynamical networks. The efficiency and accuracy of these identification methods is compared for an experimental time series where the observed friction force is predicted from the measured displacement. All models, although varying in their degree… 

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