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

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.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00754944
Contributor : Josiane Dartron <>
Submitted on : Tuesday, November 20, 2012 - 10:39:48 AM
Last modification on : Tuesday, September 18, 2018 - 1:02:04 AM

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  • HAL Id : hal-00754944, version 1

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Raluca Liacu, Dominique Beauvois, Emmanuel Godoy. Identification of Polytopic Models for a Linear Parameter-Varying System Performed on a Vehicle. 9th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Jul 2012, Rome, Italy. pp.CD-Rom. ⟨hal-00754944⟩

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