DocumentCode :
2567509
Title :
Optimization of type-2 fuzzy logic controllers for mobile robots using evolutionary methods
Author :
Martinez, Ricardo ; Rodriguez, Antonio ; Castillo, Oscar ; Melin, Patricia ; Aguilar, Luis T.
Author_Institution :
UABC, Tijuana, Mexico
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4764
Lastpage :
4769
Abstract :
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© of Matlab.
Keywords :
fuzzy control; genetic algorithms; mobile robots; optimal control; position control; tracking; Matlab; Simulink; autonomous mobile robot; evolutionary method; genetic algorithm; optimal control; trajectory tracking control; type-2 fuzzy logic controller optimization; Control systems; Fuzzy logic; Fuzzy sets; Genetic algorithms; Mobile robots; Optimal control; Optimization methods; Robot control; Trajectory; Uncertainty; Autonomous Mobile Robot; Evolutionary Methods; Genetic Algorithms; Type-2 Fuzzy Logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346079
Filename :
5346079
Link To Document :
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