The optimization of the application of fuzzy ant colony algorithm in soccer robot

被引：0
|
作者：
Chiou, Juing-Shian [1 ]
Wang, Kuo-Yang [1 ]
Shieh, Ming-Yuan [1 ]
机构：
[1] So Taiwan Univ, Dept Elect Engn, Tainan, Taiwan
来源：
ICIA: 2009 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, VOLS 1-3 | 2009年
关键词：
GENERALIZED PREDICTIVE CONTROL;
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：
This article provides a theory which is based on the Fuzzy Ant Colony Optimization, and then uses this theory to design an optical speed for the football robots, and then we also apply Ant Colony Optimization to design its routes to avoid obstacles. Afterward, we add Generalized Predictive Control to predict the position which its target might appear at the next sampling time. Our main experiment platform is a simulation machine for FIRA five-to-five soccer robots and MATLAB SIMULATION.
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页码：666 / 671
页数：6
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