A New Method for Fuzzy System Representation and Implementation
Zhinong Miao, You Shen Xia, Huijun Zhen · 2008
Fuzzy logic is wildly used in many fields in the recent years. It is also the theoretic base of fuzzy control. A novel fuzzy state space 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 via the new methods.