Simulation of fluid stochastic Petri nets

Describes a method for the simulation of fluid stochastic Petri nets (FSPNs). The FSPNs are a promising formalism for modeling hybrid dynamic systems, i.e. systems having both discrete and continuous components that evolve over time. Unfortunately, an analytical evaluation of performance measures for such nets requires the solution of a complex system of integro-differential equations whose numerical analysis often becomes a formidable task. One possible way for computing such performance measures is the use of simulative approaches. Because of the mixed (discrete and continuous) state space, the simulation of FSPNs models poses some interesting challenges, which are addressed in this paper. The paper provides a simulative approach for deriving performance measures for a class of FSPNs. The techniques described in the paper are included in a simulation tool for this class of FSPNs