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.

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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:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
1375
Deposited By:
Deposited On:
08 Feb 2008 09:24
Refereed?:
Yes
Published?:
Published
Last Modified:
02 Dec 2020 07:37