A Modelling and Analysis Tool for Systems with Probabilistic Behavior:Probabilistic Continuous Petri Net

摘要：

　　So far,Continuous Petri nets(CPNs)have been a useful tool not only for approximating discrete-event system but also for modeling continuous processes.In applications there exist many continuous dynamic systems which have to deal with probabilistic behavior.However many CPNs as described in the literature are not able to model probabilistic continuous systems..In this paper,the CPN is augmented with firing probability,and a noel continuous Petri net,i.e.,the probabilistic continuous Petri nets(PCPNs)is defined.The enabling and firing semantics of transitions of the PCPN are investigated,and the calculation of IFSs and its firing probability are developed.Some polices and algorithms to undertake PCPN behavioral analysis are proposed.Also,a chemical process is illustrated.

关键词： Continuous Petri nets continuous dynamic systems probability instantaneous firing speed

作者: Weizhi LIAO Wenjing LI Zhenxiong LAN

作者单位: College of Mathematics Physics and Information Engineering Jiaxing University Jiaxing,China College of Computer and Information Engineering Guangxi Teachers Education University Nanning,China

会议类型: 国际会议

会议名称: The 12th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2013)(第十二届分布式计算及其应用国际学术研讨会)

会议地点: 英国伦敦

会议语种:英文

页码: 44-49

在线出版日期: 2013-09-02（万方平台首次上网日期，不代表论文的发表时间）