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Modeling admissible behavior using event signals.

Luz Pinzon·Mohsen A Jafari·Hans-Michael Hanisch·Peng Zhao
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Abstract

We describe here how to obtain a model for the admissible behavior of a discrete event system that is represented by a safe Petri net (PN) model. The transitions of this PN model may be controllable or uncontrollable. Also given is a sequential specification which is modeled with a special state machine. Then, using the condition and event arcs of net condition/event systems, a combined model of plant and specification is obtained. We use only the structure of this combined model to develop a method which gives the admissible behavior of the system. Thus, we avoid the complexity of a complete state enumeration.

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AlgorithmsArtificial IntelligenceBehaviorLogistic ModelsNeural Networks, ComputerPattern Recognition, AutomatedSignal Processing, Computer-AssistedComparative StudyEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov'tValidation Study

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Luz Pinzon, Mohsen A Jafari, Hans-Michael Hanisch, Peng Zhao. 2004. Modeling admissible behavior using event signals.. https://doi.org/10.1109/tsmcb.2004.825915

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