A process-control and diagnostic tool based on continuous fuzzy Petri nets
| Autor: | Stephen Woo, Grantham K. H. Pang, Raymond Tang |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Computer science
business.industry Process (engineering) Fuzzy control system Petri net Process architecture computer.software_genre Fuzzy logic Expert system Artificial Intelligence Control and Systems Engineering Process control Artificial intelligence Data mining Electrical and Electronic Engineering business Fuzzy petri nets computer |
| Zdroj: | Engineering Applications of Artificial Intelligence. 8:643-650 |
| ISSN: | 0952-1976 |
| DOI: | 10.1016/0952-1976(95)00045-3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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