Optimal Design of the Fuzzy Navigation System for a Mobile Robot Using Evolutionary Algorithms

被引：14

作者：

Melendez, Abraham ^{[1
]}

Castillo, Oscar ^{[1
]}

Valdez, Fevrier ^{[1
]}

Soria, Jose ^{[1
]}

Garcia, Mario ^{[1
]}

机构：

[1] Tijuana Inst Technol, Tijuana, Mexico

来源：

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS | 2013年 / 10卷

关键词：

Fuzzy Control; Genetic Algorithms; Mobile Robots; Navigation; CONTROLLER;

D O I：

10.5772/55561

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

This paper describes the optimization of an integration block within the proposed navigation control system for a mobile robot. The control blocks that the integrator will combine are two Fuzzy Inference Systems (FIS) in charge of tracking and reaction control, respectively. The integrator block is called a Weighted Fuzzy Inference System (WFIS) and assigns weights to the responses of each behaviour block, to combine them into a single response.

引用

页数：11

共 25 条

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