An intelligent fuzzy-Petri reasoning supervisory control for FMS manufacturing plants
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CitationVLADEV, G., KOLEMISHEVSKA, T., TÜKEL, D. (2012). An intelligent fuzzy-Petri reasoning supervisory control for FMS manufacturing plants. 6th IEEE International Conference on Intelligent Systems, IS 2012, Sofia, Bulgaria, September 6-8, 2012.
The organization level of complex automated robotic and manufacturing systems, whose dynamics is discrete-event dominated, is revisited and some innovative results towards enhancing machine intelligence derived. These comprise a fuzzy-Petri-net reasoning emulator implementing the fuzzy-Petri rule-based decision-making with an appropriate knowledge base support. This fuzzy-Petri reformulation follows the original concept of entropy-based, intelligent machines of G.N. Saridis. Its generic feature in the sense of an improved fuzzy-Petri reasoning based organizing coordination controller is crucial. A software tool emulating the fuzzy-Petri-net reasoning is discussed. Its version employing knowledge-base with 10 rules takes only a few milliseconds on a standard PC to be simulated. Thus it is believed a feasible yet efficient real-time reasoning for supervisory control functions has been developed. Some computer simulations results for FMS applications are given that illustrate these novel developments.