Robot Action Acquisition by Self-Learning Fuzzy Controller

被引：3
|
作者：
Piao, Songhao [1 ]
Sun, Lining [1 ]
机构：
[1] Harbin Inst Technol, Sch Mechatron Engn, Harbin 150001, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/FSKD.2008.457
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A kind of stable self-learning fuzzy neural networks control system based on genetic algorithm is proposed in this paper, and it is used to acquire soccer robot shooting action. The system is composed of two parts, A fuzzy neural networks controller which uses genetic algorithm to search optimal fuzzy rules and membership function; A supervisor which uses gradient learning algorithm to train the network weights. The results of simulation and real experiments show the effectiveness of the proposed controller.
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页码：241 / 244
页数：4
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