Correlation Analysis Model of Generalized Stochastic System Dynamics

doi:10.16182/j.issn1004731x.joss.201801009

Abstract

Abstract: In order to solve the problem of system dynamics (SD) simulation and correlation analysis of complex system containing random possesses, the generalized stochastic Petri-net (GSPN) is expanded into the generalized stochastic function Petri-net (GSFPN), and a GSFPN-SD model is proposed by combining GSFPN and SD. The GSFPN-SD model has the following advantages: (1) the process of state evolution is more clear by firing transits; (2) it describes the autonomous dynamic evolution of complex system more realistically as system’s dynamic change is driven by events; (3) transits are fired by tokens' movement, thus the system states can conditionally or unconditionally transit; (4) dynamic simulation and correlation analysis of complicated systems containing some delayed transits possess can be executed. Case studies show that, compared with SD, the GSFPN-SD model has stronger and more comprehensive ability of descripting the simulation and correlation analysis of complex system.

Key words: system dynamics, Petri-net, system simulation, correlation analysis, generalized stochastic Petri-net

CLC Number:

TP391.9

Huang Guangqiu, Lu Qiuqin. Correlation Analysis Model of Generalized Stochastic System Dynamics[J]. Journal of System Simulation, 2018, 30(1): 69-79.

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