A process-control and diagnostic tool based on continuous fuzzy Petri nets
Authors:
Grantham K. H. PangRaymond TangStephen S. Woo
Affiliation:
University of Waterloo, Canada
Esso Petroleum Canada, Canada
Esso Petroleum Canada, Canada
Abstract:
The use of Petri nets and fuzzy logic in intelligent process control has caught the attention of many researchers. In this paper, a Continuous Fuzzy Petri Net (CFPN) tool which integrates the three technologies of fuzzy control, Petri nets and real-time expert systems is presented. The CFPN approach can deal with real-time continuous inferencing, for the purpose of process monitoring and diagnostics, at a high level in the presence of uncertainty. This tool has been implemented in the G2 real-time expert-system environment and is currently being used by ESSO Canada.