On forward and inverse uncertainty quantification for models involving hysteresis operators
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Date
2020
Authors
Volume
15
Issue
Journal
Mathematical modelling of natural phenomena : MMNP
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Book Title
Publisher
Les Ulis : EDP Sciences
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Abstract
Parameters within hysteresis operators modeling real world objects have to be identified from measurements and are therefore subject to corresponding errors. To investigate the influence of these errors, the methods of Uncertainty Quantification (UQ) are applied. Results of forward UQ for a play operator with a stochastic yield limit are presented. Moreover, inverse UQ is performed to identify the parameters in the weight function in a Prandtl-Ishlinskiĭ operator and the uncertainties of these parameters.
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Citation
Klein, O., Davino, D., & Visone, C. (2020). On forward and inverse uncertainty quantification for models involving hysteresis operators (Les Ulis : EDP Sciences). Les Ulis : EDP Sciences. https://doi.org//10.1051/mmnp/2020009
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License
CC BY 4.0 Unported