A process-control and diagnostic tool based on continuous fuzzy Petri nets
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.
The emergence of future pervasive ICT environments, characterized by the massive proliferation of embedded electronic devices with communication and computing capabilities, are posing enormous challenges to existing approaches to networking, service provisioning and system management. In this paper, we make a case to go for biology as possible source of novel, revolutionary design patterns suitable to large-scale highly dynamic ICT systems. We also present a case study, the EU- funded BIONETS project, which tackles the increased complexity of large-scale ubiquitous systems by applying an evolutionary framework to the provisioning of pervasive services.