Title :
Fuzzy controller using multiple rule bases
Author :
Miao, Zhi-Nong ; Xia, Shi-Fen ; Xu, Yang
Author_Institution :
Dept. of Electron. Sci. & Inf. Eng., Panzhihua Univ., China
Abstract :
A new architecture of rule base which is used in multiple inputs fuzzy controller is proposed. Multiple inputs system is very common in practice and it always needs a high order control system to acquire high performance which leads to a multi-dimension rule base for a fuzzy logic control system. High order rule base is not only difficult to understand for human being but difficult to be built and implemented. This paper suggests a new architecture for fuzzy controller to handle the high order process control by using low dimensional rule bases. And the new controller uses the rule base to solve the stable error problem that bothering conventional fuzzy logic controller also. In this way we can reduce the number of control rules and make it easy to be understood and carried out. This paper explains the architecture of the new rule base and discusses the implementation on a practical system.
Keywords :
MIMO systems; fuzzy control; knowledge based systems; fuzzy control; high order control system; multiple inputs system; multiple rule base system; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Humans; MIMO; Mathematical model; Mathematics;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382352