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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, 153 - 158.

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    Abstract

    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: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    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: 17 Sep 2013 09:30
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/1375

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