Title :
Parameters nonlinear identification for vehicle´s model
Author :
Alloum, A. ; Charara, A. ; Machkour, H.
Author_Institution :
Univ. de Technol. de Compiegne, France
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;
Conference_Titel :
Control Applications, 1997., Proceedings of the 1997 IEEE International Conference on
Conference_Location :
Hartford, CT, USA
Print_ISBN :
0-7803-3876-6
DOI :
10.1109/CCA.1997.627705
