Approximation of stochastic petri nets by means of continuous petri nets: adaptive approach

  • Authors

    • Nabil Benaya Faculty of Sciences and Techniques of Tangier
    • Nabil El Akchioui Faculty of Sciences and Techniques of Al Hoceima
    • Taoufik Mourabit Faculty of Sciences and Techniques of Al Hoceima
    https://doi.org/10.14419/ijet.v7i4.21001

    Received date: October 4, 2018

    Accepted date: April 19, 2026

    Published date: May 5, 2019

  • Adaptive Approach, Continuous Petri Nets, Fluidification, Reliability Analysis, Stochastic Petri Nets.

  • Abstract

    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 estimate the asymptotic comportement of stochastic nets by mean of continuous Petri nets according to a no linear modification of the maximal firing speed.

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  • How to Cite

    Benaya, N., El Akchioui, N., & Mourabit, T. (2019). Approximation of stochastic petri nets by means of continuous petri nets: adaptive approach. International Journal of Engineering and Technology, 7(4), 5983-5985. https://doi.org/10.14419/ijet.v7i4.21001