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.

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: /dk/atira/pure/researchoutput/libraryofcongress/qa75
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 1375
Deposited By: Dr L Mihaylov
Deposited On: 08 Feb 2008 09:24
Refereed?: Yes
Published?: Published
Last Modified: 24 Jan 2020 00:44

Actions (login required)

View Item View Item