DocumentCode :
2247339
Title :
SVM Based Human Control Learning for ALV
Author :
Wu, Tao ; Zhao, Hanqing ; He, Hangen
Author_Institution :
Dept. Autom. Control, National Univ. of Defense Technol., Changsha
fYear :
2004
fDate :
22-26 Aug. 2004
Firstpage :
803
Lastpage :
806
Abstract :
Human has the learning ability to control various systems. In this paper, a support vector machine (SVM) based learning controller is presented to approximate human control decisions and outputs when the car is driven. The experiments show that this controller has a great ability of generalization
Keywords :
generalisation (artificial intelligence); learning (artificial intelligence); road vehicles; support vector machines; ALV; SVM; generalization; human control learning; learning controller; support vector machine; vehicle control; Automatic control; Control systems; Helium; Humans; Kinematics; Nonlinear dynamical systems; Roads; Support vector machines; Vehicle dynamics; Vehicles; Approximation; SVM; Vehicle Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
0-7803-8614-8
Type :
conf
DOI :
10.1109/ROBIO.2004.1521886
Filename :
1521886
Link To Document :
بازگشت