Name
Title | ||
|---|---|---|
Type-2 Fuzzy Logic Controllers Optimization Using Genetic Algoritms and Particle Swarm Optimization |
Abstract | ||
|---|---|---|
In this paper we apply bio-inspired optimization methods to design type-2 fuzzy logic controllers (FLC) to minimize the steady state error of linear systems. We test the optimal FLC obtained by the genetic algorithms and the PSO using benchmark plants. The bio-inspired methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are implemented in Simulink showing the feasibility of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.43 | GrC |
Keywords | Field | DocType |
particle swarm optimization,genetic algorithm,steady state,genetic algorithms,mobile robots,linear system,fuzzy control,genetics,optimization,fuzzy logic,optimal control,fuzzy systems,linear systems,membership function | Particle swarm optimization,Control theory,Mathematical optimization,Optimal control,Linear system,Computer science,Control theory,Fuzzy logic,Fuzzy control system,Genetic algorithm,Mobile robot | Conference |
ISBN | Citations | PageRank |
978-1-4244-7964-1 | 5 | 0.52 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricardo Martínez-Soto | 1 | 65 | 3.65 |
| Antonio Rodríguez Díaz | 2 | 126 | 11.51 |
| Oscar Castillo | 3 | 5289 | 452.83 |
| Luis T. Aguilar | 4 | 12 | 1.02 |
| Martinez, R. | 5 | 5 | 0.52 |
| Rodriguez, A. | 6 | 26 | 3.88 |