Identification of Polytopic Models for a Linear Parameter-varying System Performed on a Vehicle

Raluca Liacu, Dominique Beauvois, Emmanuel Godoy

2012

Abstract

This paper deals with the parameter identification of continuous time polytopic models for a linear parameter-varying system (LPV). A continuous-time nonlinear identification approach is presented, a mix between a local approach and a global one is introduced in order to identify a LPV model for the lateral comportement of a vehicle. The proposed approach is based on the prediction error method for LTI systems, which is modified to take into account polytopic models and regularization terms. Using experimental data, different parameter-varying structures, explaining the lateral behavior of the vehicle, were identified by the proposed method considering the velocity as the scheduling parameter.

References

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Paper Citation


in Harvard Style

Liacu R., Beauvois D. and Godoy E. (2012). Identification of Polytopic Models for a Linear Parameter-varying System Performed on a Vehicle . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 470-475. DOI: 10.5220/0004032504700475


in Bibtex Style

@conference{icinco12,
author={Raluca Liacu and Dominique Beauvois and Emmanuel Godoy},
title={Identification of Polytopic Models for a Linear Parameter-varying System Performed on a Vehicle},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={470-475},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004032504700475},
isbn={978-989-8565-21-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Identification of Polytopic Models for a Linear Parameter-varying System Performed on a Vehicle
SN - 978-989-8565-21-1
AU - Liacu R.
AU - Beauvois D.
AU - Godoy E.
PY - 2012
SP - 470
EP - 475
DO - 10.5220/0004032504700475