Simulation Design of Fuzzy Logic System Without Any Rules Based on Fuzzy Perception Intensity

Based on the effectiveness of the fuzzy logic in the field of psychological linguistics research, this paper proposes a new kind of fuzzy logic system without any rules based on fuzzy perception intensity and Weber's law, and the method of adaptive control application. Firstly, applying the concept of psychophysics, the knowledge base of fuzzy logic system is constructed by fuzzy perception intensity, which describes expert's experience feelings. After fuzzy reasoning, the final output is obtained from defuzzification by generalized Weber's law. Secondly, for a class of nonlinear system, this new fuzzy logic system is adopted to design adaptive controller and parameter's adaptive laws. Finally, the feasibility and validity of the method are illustrated through the synchronization simulation about Duffing chaotic systems.