Lancaster EPrints

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 :. , 153 - 158.

PDF (MFI_10c.pdf)
Download (167Kb) | Preview


    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 systems ; mechatronics ; multiplemodels estimation ; system identification ; hysteresis ; DCS-publications-id ; inproc-440 ; DCS-publications-credits ; dsp-fa ; DCS-publications-personnel-id ; 121
    Subjects: ?? 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?: No
    Published?: Published
    Last Modified: 22 Sep 2018 01:24
    Identification Number:

    Actions (login required)

    View Item