计算机技术与发展Issue(5)：20-22,3.DOI:10.3969/j.issn.1673-629X.2014.05.005
基于正态Petri网的模型参数识别研究
Research on Model Parameter Identification Based on Normal Stochastic Petri Net
摘要
Abstract
The factor of time had played an important role in the analysis of real-time systems. As the importance of time analysis in the application of Petri nets is increasing,a variety of timed Petri net models were proposed. Considering the characteristics of dynamic real-time systems,a stochastic Petri net with normal distributions of the firing periods was designed and a method for the identification of the parameters was proposed based on a statistical analysis of the behavior of the system. The system model of a random manufacturing unit was built with normal Petri net and the parameters of firing periods were verified by the estimation algorithm. The simulation results fit in-to the actual behavior of the system and prove the effectiveness of this method.关键词
非马尔可夫网/随机Petri网/模型设计/参数识别Key words
non-Markov nets/stochastic Petri nets/model design/parameter identification分类
信息技术与安全科学引用本文复制引用
陈哲,刘久富,王正谦..基于正态Petri网的模型参数识别研究[J].计算机技术与发展,2014,(5):20-22,3.基金项目
国家自然科学基金资助项目(60674100) （60674100）
南京航空航天大学青年科学创新基金(NS2010069) （NS2010069）
