随机无决策Petri网的遍历理论

F. Baccelli
{"title":"随机无决策Petri网的遍历理论","authors":"F. Baccelli","doi":"10.1109/CDC.1989.70402","DOIUrl":null,"url":null,"abstract":"The class of decision-free Petri nets under stochastic timing assumptions, also known as stochastic event graphs, is considered. Under the assumption that the variables used for the timing of an event graph form stationary and ergodic sequences of random variables, use is made of an associated stochastic recursive equation in order to construct the event graph's stationary and ergodic regime. In particular, the conditions under which the existence of this regime is guaranteed are determined.<<ETX>>","PeriodicalId":156565,"journal":{"name":"Proceedings of the 28th IEEE Conference on Decision and Control,","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Ergodic theory of stochastic decision free Petri nets\",\"authors\":\"F. Baccelli\",\"doi\":\"10.1109/CDC.1989.70402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The class of decision-free Petri nets under stochastic timing assumptions, also known as stochastic event graphs, is considered. Under the assumption that the variables used for the timing of an event graph form stationary and ergodic sequences of random variables, use is made of an associated stochastic recursive equation in order to construct the event graph's stationary and ergodic regime. In particular, the conditions under which the existence of this regime is guaranteed are determined.<<ETX>>\",\"PeriodicalId\":156565,\"journal\":{\"name\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th IEEE Conference on Decision and Control,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1989.70402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th IEEE Conference on Decision and Control,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1989.70402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

研究了随机时序假设下的无决策Petri网,也称为随机事件图。在假设事件图的时序变量是随机变量的平稳遍历序列的情况下,利用一个相关的随机递推方程来构造事件图的平稳遍历区。特别是确定了保证这一制度存在的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ergodic theory of stochastic decision free Petri nets
The class of decision-free Petri nets under stochastic timing assumptions, also known as stochastic event graphs, is considered. Under the assumption that the variables used for the timing of an event graph form stationary and ergodic sequences of random variables, use is made of an associated stochastic recursive equation in order to construct the event graph's stationary and ergodic regime. In particular, the conditions under which the existence of this regime is guaranteed are determined.<>
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信