DocumentCode :
2556377
Title :
Identification of a nonlinear driver model via NARMAX modeling
Author :
Chen, Liang-kuang ; Ulsoy, A. Galip
Author_Institution :
Dept. of Mech. Eng. & Appl. Mech., Michigan Univ., Ann Arbor, MI, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2533
Abstract :
Most existing driver steering models consist of a linear function and a time delay element. Driving simulator data, however, indicates the possible existence of “complacency” nonlinearity. Three possible nonlinear structures are investigated to model this effect. The effectiveness of each structure in reducing the model uncertainty is evaluated
Keywords :
autoregressive moving average processes; identification; position control; road vehicles; transfer functions; uncertain systems; NARMAX modeling; complacency nonlinearity; driver steering models; linear function; model uncertainty; nonlinear driver model; nonlinear structures; time delay; Delay effects; Goniometers; Hysteresis; Mechanical engineering; Predictive models; System identification; Transfer functions; Uncertainty; Vehicle driving; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.878663
Filename :
878663
Link To Document :
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