Paper Info
Title
Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms
Abstract
We describe a tracking controller for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on type-2 fuzzy logic theory and genetic algorithms. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.
Year
DOI
Venue
2009
10.1016/j.ins.2008.12.028
Soft Computing for Hybrid Intelligent Systems
Keywords
Field
DocType
unicycle mobile robot,dynamic model,tracking controller,different navigation problem,genetic algorithm,torque controller,type-2 fuzzy logic theory,type-2 fuzzy logic controller,computer simulation,mobile robot,optimization,intelligent control,mobile robots,genetic algorithms,fuzzy logic
Fuzzy electronics,Intelligent control,Robot control,Control theory,Kinematics,Control theory,Computer science,Fuzzy logic,Genetic algorithm,Mobile robot
Journal
Volume
Issue
ISSN
179
13
0020-0255
Citations 
PageRank 
References 
121
4.30
22
Authors
3
Search Limit
100121
Name
Order
Citations
PageRank
Ricardo Martínez-marroquín11214.30
Oscar Castillo25289452.83
Luis T. Aguilar32209.09