摘要
为了增强传统对象Petri网的定量分析能力,提出随机对象Petri网模型。该模型具备随机性和层次特性,获得与随机Petri网的等价关系,从宏观和微观2个层面对系统进行性能分析,并将该模型应用到柔性制造系统中。实验结果表明,该系统保留了面向对象的建模能力,具有较强的定量分析能力。
To improve classical object petri nets' ability of quantitative analyzing, this paper proposes the Stochastic Object Petri Net(SOPN) model. This model has both stochastic and hierarchical characteristics, obtains the equivalence relation between SOPNs and stochastic Petri nets, and does performance analysis on macro and micro levels of a system. The results of applying SOPNs to analyze performance of flexible manufacturing systems show that the model keeps down the good object-oriented modeling ability, and is well suited for quantitative analysis.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第20期49-51,共3页
Computer Engineering
基金
国家"973"计划基金资助项目(2002CB312002)
国家"863"计划基金资助项目(2006AA01Z159)
国家自然科学基金资助项目(60233010
60403014
60603034)
江苏省自然科学基金资助项目(BK2006712)