Identification of Hysteresis Functions Using a Multiple Model Approach

Mihaylova, L and Lampaert, V and Bruyninckx, H and Swevers, J (2001) Identification of Hysteresis Functions Using a Multiple Model Approach. In: Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on :. UNSPECIFIED, Baden-Baden, Germany, 153 - 158.

[thumbnail of MFI_10c.pdf]
PDF (MFI_10c.pdf)

Download (171kB)


This paper considers the identification of static hysteresis functions which describe phenomena in mechanical systems, piezoelectric actuators and materials. A solution based on a model with a parallel structure of elementary models (with switching) and the Interacting Multiple Model (IMM) approach is proposed. For each elementary model a separate IMM estimator is implemented. The estimated parameters represent a fusion of values from preset grids, weighted by the IMM mode probabilities. The estimated state of each elementary model is a fusion of the estimated states (from the separate Kalman filters) weighted by the IMM probabilities. The nonlinear identification problem is reduced to a linear one. Results from simulation experiments are presented.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
pp. 153-158
Uncontrolled Keywords:
?? nonlinear systemsmechatronicsmultiplemodels estimationsystem identificationhysteresisdcs-publications-idinproc-440dcs-publications-creditsdsp-fadcs-publications-personnel-id121qa75 electronic computers. computer science ??
ID Code:
Deposited By:
Deposited On:
08 Feb 2008 09:24
Last Modified:
16 Jul 2024 02:52