Fuzzy petri net for UAV decision making

Authors:
Martin Lundell;Jingpeng Tang;Kendall Nygard
Affiliations:
University of Minnesota, Crookston;University of Minnesota, Crookston;North Dakota State University
Venue:
CTS'05 Proceedings of the 2005 international conference on Collaborative technologies and systems
Year:
2005

Citing 4
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Abstract

The decision for an autonomous Unmanned Air Vehicle (UAV) to strike a target is an important one that has important consequences. The details regarding the decision and the process of deciding need to be well defined and understood. This paper presents a Petri net approach to UAV decision making based on fuzzy reasoning. It shows that Petri nets are a viable tool for modeling and validating propositional logic for rule-based reasoning in UAV decisions. It also discusses alternative methods for modeling places as input sources for transitions representing rules.