Title :
Particle swarm optimization based tuning for fuzzy cruise control
Author :
Johanyak, Zsolt Csaba ; Ailer, Piroska Gyongyi
Author_Institution :
Dept. of Inf. Technol., Kecskemet Coll., Kecskemet, Hungary
Abstract :
This paper proposes a Particle Swarm Optimization (PSO) based tuning for fuzzy controllers. The applicability of the proposed solution is demonstrated by tuning a simple fuzzy cruise control. The algorithm is used for the tuning of the input-output gains as well as the tuning of the sets included into the consequent parts of the fuzzy rules. The results are compared by the means of a fitness function to the tuning results obtained by the application of a clonal selection based algorithm.
Keywords :
fuzzy control; particle swarm optimisation; road traffic control; road vehicles; PSO based tuning; clonal selection based algorithm; fitness function; fuzzy cruise control; fuzzy rules; input-output gains tuning; particle swarm optimization based tuning; Optimization; Particle swarm optimization; Sociology; Statistics; Tuning; Vectors; Vehicles; Particle Swarm Optimization; fuzzy control; vehicle;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on
Conference_Location :
Budapest
DOI :
10.1109/CINTI.2014.7028681
