Modelling and analysis of hybrid stochastic timed Petri net

作     者：Ruimin Cao Lina Hao Fengli Wang Qiang Gao 

作者机构：School of Mechanical Engineering&AutomationNortheastern UniversityShenyangChina Key Laboratory of Manufacturing Industrial Integrated AutomationShenyang UniversityShenyangChina 

出 版 物：《Journal of Control and Decision》 (控制与决策学报（英文）)

年 卷 期：2019年第6卷第2期

页      面：90-110页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work was supported by the Fundamental Research Funds for the Central Universities of China[grant number N160306002] National Natural Science Foundation of China[grant number 61573093] 

主　　题：Hybrid stochastic timed Petri net hybrid dynamic system structural equivalence equivalence rules scalability 

摘      要：In this paper,an interesting Hybrid Stochastic Timed Petri Net(HSTPN)is proposed for a class of hybrid *** proposed HSTPN can be adopted to represent hybrid systems with discrete,continuous,conflicting,time-delay and stochastic characteristics *** proposed HSTPN outperforms conventional hybrid Petri net models in terms of describing the scalability and immediacy of hybrid *** of the HSTPN on describing hybrid system are verified by establishing some equivalent models of HPN and its derived models.