Title :
A system identification method using a hybrid-type genetic algorithm
Author :
Mitsukura, Y. ; Fukumi, M. ; Akamatsu, Norio ; Yarnamoto, T.
Author_Institution :
Tokushima Univ., Japan
Abstract :
In this paper, we propose a new system identification method by using a genetic algorithm (GA) which has a hybrid structure. The hybrid structure means that a GA has 2 structures. One is the most popular chromosome type GA. That is, chromosomes have binary type genes. The other one is real coded GA. The former is used for determining a function type automatically. The latter is used for determining the coefficient of the function, time delay in the system and combination of the functions automatically. Finally, in order to show the effectiveness of the proposed method, computer simulations were done. Furthermore, in the computer simulations, 2-kinds of systems are identified. One is the hammer stain model. The other is a complex model. From these simulation results, the effectiveness of the proposed method is cleared.
Keywords :
genetic algorithms; identification; binary coded genetic algorithm; binary type genes; genetic algorithm; real coded genetic algorithm; system identification; Biological cells; Cities and towns; Computational modeling; Computer simulation; Control design; Control systems; Delay effects; Genetic algorithms; System identification;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196550
