Paper Info
Title
Nature Inspired Chemical Optimization To Design A Type-2 Fuzzy Controller For A Mobile Robot
Abstract
In this paper, we consider an optimization method inspired on the chemical reactions to find the gain constants involved in the tracking controller for the dynamic model of an unicycle autonomous mobile robot. The tracking controller integrates a kinematic and a torque controller based on fuzzy logic theory. The process of finding these constants was made previously using genetic algorithms. The aim of this paper is to introduce the application of the optimization algorithm based on the chemical paradigm and compare it with the results obtained by other optimization techniques.
Year
DOI
Venue
2013
10.1109/IFSA-NAFIPS.2013.6608610
PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS)
Keywords
Field
DocType
fuzzy control, wheeled mobile robot, optimization, chemical reactions, natural computing
Robot control,Control theory,Robot calibration,Control theory,Computer science,Fuzzy logic,Robot kinematics,Fuzzy control system,Mobile robot,Genetic algorithm
Conference
Citations 
PageRank 
References 
4
0.43
10
Authors
3
Name
Order
Citations
PageRank
Leslie Astudillo1844.89
Patricia Melin24009259.43
Oscar Castillo35289452.83