Simulation of Fluid Stochastic Petri Nets

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