Study on the stateflow-based dynamically simulating model of fuzzy reasoning Petri nets

In this paper, we consider main three types of fuzzy production rules, which can be used in fuzzy quality abnormity diagnosis problem and their presentation models are constructed by use of fuzzy reasoning Petri nets (FRPNs). Considering of the graphic representation and logic structure of FRPNs, we propose the method for simulating model using Matlab toolbox stateflow. By establishing a corresponding relationship between FRPNs rules and stateflow block diagram, three simulating models for the three corresponding FRPNs´ basic structure are developed. Finally, we give an application case of the proposed model. Taking place truth degree data of FRPNs as input, the diagnosis process and results can be shown dynamically in the stateflow simulating model under Matlab environment. The result illustrated that the method proposed can give reliable information for process maintenance and abnormal causes´ location.