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Approximation of MTS stochastic Petri nets steady state by means of continuous Petri nets: a numerical approach

机译:通过连续培养网的MTS随机培养网稳态的近似值:一种数值方法

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Reliability analysis is often based on stochastic discrete event models like Markov models or stochastic Petri nets. For complex dynamical systems with numerous components, analytical expressions of the steady state are tedious to work out because of the combinatory explosion with discrete models. The contribution of this paper is to approximate the steady state of mono T-semiflow stochastic nets by mean of continuous Petri nets according to a modification of the maximal firing speed vector definition. This result is then used to accelerate convergence of stochastic simulations.
机译:可靠性分析通常基于马尔可夫模型或随机培养网等随机离散事件模型。对于具有许多组件的复杂动态系统,由于采用离散模型的组合爆炸,稳定状态的分析表达乏味是繁琐的。本文的贡献是根据最大点火速度矢量定义的修改,通过连续培养网的平均值近似于连续培养网的稳态。然后使用该结果加速随机模拟的收敛性。

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