Title :
Matrix representation and implementation of fuzzy system
Author :
Miao, Zhinong ; Zhao, Xiangyu
Author_Institution :
Center of Intelligent Control & Dev., Southwest Jiaotong Univ., Chengdu
Abstract :
Fuzzy logic is wildly used in many fields in the recent years. It is also the theoretic base of fuzzy control. A novel matrix representation and implementation method is prompted in this paper. The new method employs the concepts of state space which achieved great success in the modern control theory and uses matrix to represent fuzzy models including the fuzzification, inference mechanism, rule base and defuzzification. Some new combining operators for fuzzy logic inference are also defined in this paper. To show the correctness and efficiency of the new method, a nonlinear system is discussed employing the new methods
Keywords :
fuzzy control; fuzzy logic; fuzzy systems; inference mechanisms; matrix algebra; nonlinear control systems; state-space methods; defuzzification; fuzzy control; fuzzy logic inference mechanism; fuzzy system; matrix representation; nonlinear system; rule base method; state space method; Adaptive control; Automatic control; Control systems; Control theory; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent control; Programmable control; State-space methods; fuzzy logic implementation; fuzzy system; matrix representation;
Conference_Titel :
Computational Intelligence Methods and Applications, 2005 ICSC Congress on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0020-1
DOI :
10.1109/CIMA.2005.1662336
