TY - GEN
T1 - Fuzzy logic controllers optimization using genetic algorithms and particle swarm optimization
AU - Martinez-Soto, Ricardo
AU - Castillo, Oscar
AU - Aguilar, Luis T.
AU - Melin, Patricia
PY - 2010
Y1 - 2010
N2 - In this paper we apply to Bio-inspired and evolutionary optimization methods to design 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 applied on linear systems using benchmark plants. The bio-inspired and the evolutionary methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are obtained with Simulink showing the feasibility of the proposed approach.
AB - In this paper we apply to Bio-inspired and evolutionary optimization methods to design 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 applied on linear systems using benchmark plants. The bio-inspired and the evolutionary methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are obtained with Simulink showing the feasibility of the proposed approach.
KW - Fuzzy Logic Controllers
KW - Genetic Algorithms
KW - Particle Swarm Optimization
UR - http://www.scopus.com/inward/record.url?scp=78650017222&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-16773-7_41
DO - 10.1007/978-3-642-16773-7_41
M3 - Contribución a la conferencia
SN - 3642167721
SN - 9783642167720
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 475
EP - 486
BT - Advances in Soft Computing - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Proceedings
T2 - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010
Y2 - 8 November 2010 through 13 November 2010
ER -