Paper Info
Title
Fuzzy logic control with genetic membership function parameters optimization for the output regulation of a servomechanism with nonlinear backlash
Abstract
The paper presents a hybrid architecture, which combines Type-1 or Type-2 fuzzy logic system (FLS) and genetic algorithms (GAs) for the optimization of the membership function (MF) parameters of FLS, in order to solve to the output regulation problem of a servomechanism with nonlinear backlash. In this approach, the fuzzy rule base is predesigned by experts of this problem. The proposed method is far from trivial because of nonminimum phase properties of the system. The simulation results illustrate the effectiveness of the optimized closed-loop system.
Year
DOI
Venue
2010
10.1016/j.eswa.2009.11.091
Expert Syst. Appl.
Keywords
Field
DocType
genetic algorithm,type-2 fuzzy systems,hybrid architecture,fuzzy control,type-2 fuzzy logic system,nonminimum phase property,output regulation problem,genetic membership function parameter,nonlinear backlash,fuzzy rule base,optimized closed-loop system,membership function,fuzzy logic control,backlash,fuzzy system,genetics
Fuzzy electronics,Neuro-fuzzy,Defuzzification,Fuzzy classification,Computer science,Control theory,Fuzzy control system,Fuzzy number,Membership function,Fuzzy rule
Journal
Volume
Issue
ISSN
37
6
Expert Systems With Applications
Citations 
PageRank 
References 
33
1.32
15
Authors
3
Name
Order
Citations
PageRank
Nohe R. Cazarez-Castro11388.57
Luis T. Aguilar22209.09
Oscar Castillo35289452.83