Simulation with Input Uncertainties Using Stochastic Petri nets

Autor:	Francisco Monte, Sergio Galdino
Rok vydání:	2015
Předmět:	Computer science Reachability Monte Carlo method Stochastic Petri net Graph (abstract data type) Interval (mathematics) Petri net Algorithm Exponential function Interval arithmetic
Zdroj:	Advances in Swarm and Computational Intelligence ISBN: 9783319204680 ICSI (3)
DOI:	10.1007/978-3-319-20469-7_22
Popis:	Simulation with input uncertainties using stochastic Petri nets (SPN) takes into account the effects of uncertainties in exponential transition rates when calculating performance indices. The proposed simulation method, using interval arithmetic, allows the computing with simultaneous influence of uncertainties and variabilities of parameters. A case study is presented for processing uncertainty from stochastic Petri nets models. Interval SPN simulation do not compute the reachability graph, but follows the proposed Monte Carlo interval style simulation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b2458fcbb75a9d32ef7fd6bb5bacd967 https://doi.org/10.1007/978-3-319-20469-7_22 Zobrazit plný text záznamu