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Identification of Hysteresis Functions Using a Multiple Model Approach

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Identification of Hysteresis Functions Using a Multiple Model Approach. / Mihaylova, L; Lampaert, V; Bruyninckx, H; Swevers, J.

Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on . 2001. p. 153 - 158 .

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Mihaylova, L, Lampaert, V, Bruyninckx, H & 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 . pp. 153 - 158 , International Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI' 2001), Baden-Baden, Germany, 20/08/01. https://doi.org/10.1109/MFI.2001.1013524

APA

Mihaylova, L., Lampaert, V., Bruyninckx, H., & 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 (pp. 153 - 158 ) https://doi.org/10.1109/MFI.2001.1013524

Vancouver

Mihaylova L, Lampaert V, Bruyninckx H, Swevers J. Identification of Hysteresis Functions Using a Multiple Model Approach. In Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on . 2001. p. 153 - 158 https://doi.org/10.1109/MFI.2001.1013524

Author

Mihaylova, L ; Lampaert, V ; Bruyninckx, H ; Swevers, J. / Identification of Hysteresis Functions Using a Multiple Model Approach. Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on . 2001. pp. 153 - 158

Bibtex

@inproceedings{482de9dd8b7242348731081c1cb9c63d,
title = "Identification of Hysteresis Functions Using a Multiple Model Approach",
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.",
keywords = "nonlinear systems, mechatronics, multiplemodels estimation, system identification, hysteresis, DCS-publications-id, inproc-440, DCS-publications-credits, dsp-fa, DCS-publications-personnel-id, 121",
author = "L Mihaylova and V Lampaert and H Bruyninckx and J Swevers",
note = "pp. 153-158; International Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI' 2001) ; Conference date: 20-08-2001 Through 21-08-2001",
year = "2001",
month = aug,
day = "20",
doi = "10.1109/MFI.2001.1013524",
language = "English",
pages = "153 -- 158 ",
booktitle = "Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on",

}

RIS

TY - GEN

T1 - Identification of Hysteresis Functions Using a Multiple Model Approach

AU - Mihaylova, L

AU - Lampaert, V

AU - Bruyninckx, H

AU - Swevers, J

N1 - pp. 153-158

PY - 2001/8/20

Y1 - 2001/8/20

N2 - 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.

AB - 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.

KW - nonlinear systems

KW - mechatronics

KW - multiplemodels estimation

KW - system identification

KW - hysteresis

KW - DCS-publications-id

KW - inproc-440

KW - DCS-publications-credits

KW - dsp-fa

KW - DCS-publications-personnel-id

KW - 121

U2 - 10.1109/MFI.2001.1013524

DO - 10.1109/MFI.2001.1013524

M3 - Conference contribution/Paper

SP - 153

EP - 158

BT - Multisensor Fusion and Integration for Intelligent Systems, 2001. MFI 2001. International Conference on

T2 - International Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI' 2001)

Y2 - 20 August 2001 through 21 August 2001

ER -