DocumentCode
416899
Title
Fuzzy target acquired by reinforcement learning for parking control
Author
Yasunobu, Seiji ; Matsubara, Tomoya
Author_Institution
Inst. of Eng. Mech. & Syst., Tsukuba Univ., Ibaraki, Japan
Volume
2
fYear
2003
fDate
4-6 Aug. 2003
Firstpage
1242
Abstract
In this paper, a flexible action deciding method under various situations like a human being based on the concept of "fuzzy target" is proposed, and it applied to parking control. The "fuzzy target" is acquired by reinforcement learning, and it contains the grade of value of various targets. Fuzzy target is applied to intelligent parking control system for nonholonomic vehicle. The simulation results show the effectiveness of the proposed method.
Keywords
digital simulation; fuzzy control; intelligent control; knowledge acquisition; learning (artificial intelligence); predictive control; traffic control; vehicles; digital simulation; flexible action deciding method; fuzzy target; intelligent parking control; knowledge acquisition; nonholonomic vehicle; predictive control; reinforcement learning;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2003 Annual Conference
Conference_Location
Fukui, Japan
Print_ISBN
0-7803-8352-4
Type
conf
Filename
1324142
Link To Document