DocumentCode :
2926396
Title :
Tracking Style Adjustment in Automatic Cruise Control
Author :
Tahirovic, A. ; Avdagic, Z.
Author_Institution :
Fac. of Electr. Eng., Sarajevo
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
6
Abstract :
The possibility of using different kind of cruise control algorithms in the vehicle tracking style adjustment was shown in this paper. These vehicle tracking styles ranged from extremely comfort to extremely sportive ones and different from each other respect to acceleration signals of the tracking vehicle. First, short overview of a neural network based algorithm was shown in order to achieve desired level of the tracking comfort. Also, the possibility of the tracking style adjustment was presented using Pipes and linear optimal control model. The appropriate parameter space regions for different level of comfort have been found with respect to the given cost function of the tracking style.
Keywords :
neural nets; optimal control; tracking; vehicles; Pipes; automatic cruise control; linear optimal control; neural network; tracking style adjustment; vehicle tracking; Acceleration; Automatic control; Automation; Cost function; Navigation; Neural networks; Target tracking; Testing; Trajectory; Vehicle driving; control; cruise control; neural network; tracking style adjustment; vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.376024
Filename :
4259940
Link To Document :
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