DocumentCode
2862076
Title
Fuzzy Self-adjusted and Realtime Learning Algorithm for Vehicle Lateral Control
Author
Yang, Jing ; Zheng, N.N. ; Lv, X.J. ; Cheng, Hong
Author_Institution
Inst. of Artificial Intelligence & Robotics, Xi´´an Jiaotong Univ.
fYear
2006
fDate
24-26 May 2006
Firstpage
1
Lastpage
5
Abstract
In this paper we deal with the vehicle lateral problem. More precisely, we solve this problem by properly applying fuzzy self-adjusted and realtime learning algorithm to the two degree of freedom vehicle lateral dynamic model. The model is set up by plenty of experiments in real driving environment
Keywords
fuzzy control; learning systems; position control; road vehicles; self-adjusting systems; fuzzy self-adjusted algorithm; real driving environment; realtime learning algorithm; vehicle lateral control; Character generation; Fuzzy control; Land vehicles; Learning; Mobile robots; Remotely operated vehicles; Road vehicles; Sliding mode control; Vehicle driving; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location
Singapore
Print_ISBN
0-7803-9513-1
Electronic_ISBN
0-7803-9514-X
Type
conf
DOI
10.1109/ICIEA.2006.257334
Filename
4025935
Link To Document