On forward and inverse uncertainty quantification for models involving hysteresis operators

Author:

Klein OlafORCID,Davino DanieleORCID,Visone CiroORCID

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.

Publisher

EDP Sciences

Subject

Modelling and Simulation,Applied Mathematics

Reference19 articles.

1. Al Janaideh M., Visone C., Davino D. and Krejčí. P. The generalized Prandtl-Ishlinskii model: relation with the Preisach nonlinearity and inverse compensation error, in 2014 American Control Conference (ACC) June 4 -6, 2014. Portland, Oregon, USA (2014).

2. Comparison of Prandtl–Ishlinskiı˘ and Preisach modeling for smart devices applications

3. Brokate M. and Sprekels J., Hysteresis and phase transitions. Springer, New York (1996).

4. Fully coupled modeling of magneto-mechanical hysteresis through ‘thermodynamic’ compatibility

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