Correlation Analysis Model of Generalized Stochastic System Dynamics

Authors

Guangqiu Huang, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Qiuqin Lu, School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;

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.

Recommended Citation

Huang, Guangqiu and Lu, Qiuqin (2019) "Correlation Analysis Model of Generalized Stochastic System Dynamics," Journal of System Simulation: Vol. 30: Iss. 1, Article 9.
DOI: 10.16182/j.issn1004731x.joss.201801009
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss1/9

First Page

69

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201801009

Last Page

79

CLC

TP391.9

Recommended Citation

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

DOI

10.16182/j.issn1004731x.joss.201801009