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
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