Genetic fuzzy tracking controllers for autonomous ground vehicles

被引：0
|
作者：
Leo, YG [1 ]
Zak, SH [1 ]
机构：
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
来源：
PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2002年 / 1-6卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Genetic algorithm (GA) based fuzzy logic controller (FLC) design methods are presented for the step-lane-change maneuver of an autonomous ground vehicle. Fuzzy logic allows us to incorporate expert knowledge in the controller design. However, the fine-tuning process of a fuzzy logic controller may be very tedious and time consuming. If the information, regarding the controller operation, derived from the expert knowledge is incomplete, then an appropriately designed genetic algorithm is employed to complete the rule base specifying the desired functioning of the controller.
引用
收藏
页码：2144 / 2149
页数：6
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