×

zbMATH — the first resource for mathematics

Identification of pre-sliding friction dynamics. (English) Zbl 1080.70009
Summary: 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 of accuracy, show good prediction capability of pre-sliding friction. Finally, we show that even better results can be achieved by using an ensemble of the best models for prediction.

MSC:
70F40 Problems involving a system of particles with friction
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] DOI: 10.1109/9.847103 · Zbl 0984.70008
[2] DOI: 10.1109/9.995050 · Zbl 1364.93516
[3] DOI: 10.1063/1.1741752
[4] DOI: 10.1023/B:TRIL.0000009719.53083.9e
[5] DOI: 10.1063/1.1755178 · Zbl 1080.70010
[6] DOI: 10.1080/00207178908559767
[7] DOI: 10.1142/S0218127495000363 · Zbl 0886.58100
[8] DOI: 10.1142/S0218127499000894 · Zbl 0955.93502
[9] DOI: 10.1016/S0010-4825(99)00006-2
[10] DOI: 10.1109/37.55121
[11] DOI: 10.1109/72.80202
[12] DOI: 10.1088/0964-1726/1/1/007
[13] DOI: 10.1080/00207179208934232 · Zbl 0742.93001
[14] DOI: 10.1080/00207729008910567 · Zbl 0706.93074
[15] DOI: 10.1016/S0893-6080(05)80056-5
[16] DOI: 10.1023/A:1006559212014 · Zbl 05469224
[17] DOI: 10.1103/PhysRevE.62.2089
[18] DOI: 10.1162/089976602760407955 · Zbl 1057.68618
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.