Parameters nonlinear identification for vehicle´s model

Author

Alloum, A. ; Charara, A. ; Machkour, H.

Author_Institution

Univ. de Technol. de Compiegne, France

fYear

1997

fDate

5-7 Oct. 1997

Firstpage

505

Lastpage

510

Abstract

This paper examines part of a driving advice system developed by the ProArt France team (part of the European Eureka Prometheus programme). The least-squares identification of parameters for a nonlinear vehicle model is presented. We also discuss the uniqueness of the system representation (identifiability) and sensitivity functions for determining the effects of parameter changes on the response of vehicle dynamic systems.

Keywords

control system analysis computing; driver information systems; dynamic response; least squares approximations; mechanical engineering computing; nonlinear dynamical systems; parameter estimation; road vehicles; sensitivity; Eureka Prometheus programme; ProArt France; driving advice system; identifiability; least-squares identification; nonlinear vehicle model; parameter changes; parameter identification; sensitivity functions; system representation uniqueness; vehicle system dynamic response; Application software; Artificial intelligence; Least squares methods; Real time systems; Safety; Transportation; Vectors; Vehicle driving; Vehicle dynamics; Wheels;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 1997., Proceedings of the 1997 IEEE International Conference on

Conference_Location

Hartford, CT, USA

Print_ISBN

0-7803-3876-6

Type

conf

DOI

10.1109/CCA.1997.627705

Filename

627705