Optimization of Type-2 Fuzzy Logic Controllers for Mobile Robots Using Evolutionary Methods

被引：8
|
作者：
Martinez, Ricardo [1 ]
Rodriguez, Antonio [1 ]
Castillo, Oscar [2 ]
Melin, Patricia [2 ]
Aguilar, Luis T. [3 ]
机构：
[1] UABC, Tijuana, Mexico
[2] Inst Tecnol Tijuana, Tijuana, Mexico
[3] CITEDI, Tijuana, Mexico
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
Autonomous Mobile Robot; Evolutionary Methods; Genetic Algorithms; Type-2 Fuzzy Logic;
D O I：
10.1109/ICSMC.2009.5346079
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe in this paper the application of evolutionary methods for the optimization of type-2 fuzzy logic controllers. These optimal type-2 fuzzy logic controllers are used for the trajectory tracking control of autonomous mobile robots. The evolutionary method to consider is the genetic algorithm, presenting simulations results in Simulink (c) of Matlab.
引用
收藏
页码：4764 / +
页数：2
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