Combining Petri nets and fuzzy sets for discrete-event controllers design

Abstract

We present design approach for discrete-event controllers (DECs) that combines a model of computation (Petri nets) and a soft computing method (fuzzy logic). Our approach converts Petri net models of DECs into their equivalent fuzzy sets for rapid prototyping or implementation on microcomputers or FPGA-based modules. The Petri nets model of a discrete event controller is captured and modeled using DesignCPN software. DesignCPN uses coloured Petri nets (CPN) in model representation. Fuzzy sets generated in our conversion process are compatible with Xfuzzy software, which is a fuzzy logic software for the design of controllers. Xfuzzy uses a language called XFL to define fuzzy systems. The design approach is based on modern compilation techniques.