| Title |
A Design of Fuzzy Controllers using Genetic Algorithm |
| Authors |
손호성(Sohn, Ho-Seung) ; 권기호(Kwon, Key-Ho) |
| Keywords |
퍼지 이론 ; 병렬 버지 제어기 ; 유전자 알고리즘 ; 다개체군 유전자 알고리즘 Ball and Plate System |
| Abstract |
Fuzzy controllers show good performance in case of the systems being nonlinear and difficult to solve. But these fuzzy controllers have problems which have to decide suitable rules and membership functions. In general, we decide those using the heuristic methods or the experience of experts. Recently, G.A. have been studied in this field. The number of rules increase exponentially when the number of input and output increase. It also makes hard to decide the rules and membership functions even though we use G.A. In this paper, we suggest parallel fuzzy controllers, and also the method to decrease the number of rules. The excellent performance of these methods is confirmed through simulations. |