| 分布式随机离散事件系统的模式故障预测EI北大核心CSCD |
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| 引用本文： | 金衍伟,刘富春,赵锐,曹卫华,崔洪刚.分布式随机离散事件系统的模式故障预测EI北大核心CSCD[J].控制理论与应用,2022,39(1):59-66. |
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| 作者姓名： | 金衍伟 刘富春 赵锐 曹卫华 崔洪刚 |
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| 作者单位： | 广东工业大学计算机学院,广东广州510006;广东工业大学计算机学院,广东广州510006;东源县科技创新中心,广东河源517500 |
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| 基金项目： | 国家自然科学基金项目(61673122), 广东省自然科学基金项目(2019A1515010548, 2020A1515010941)资助. |
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| 摘 要： | 本文以随机自动机为模型,研究分布式随机离散事件系统的模式故障预测问题.首先根据分布式随机离散事件系统的分布特性对模式故障协同可预测性概念进行形式化,并通过构造模式故障识别器来识别系统中发生的模式故障.然后,构造一个模式故障协同预测器,提出一种基于协同预测器的具有多项式复杂度的算法,得到关于分布式随机离散事件系统模式故障协同可预测性的充分必要条件,实现对分布式随机离散事件系统的模式故障预测.
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| 关 键 词： | 随机离散事件系统 分布式 模式故障 故障预测 |
| 收稿时间： | 2020/12/26 0:00:00 |
| 修稿时间： | 2021/4/17 0:00:00 |
Coprognosability of pattern fault for decentralized stochastic discrete event systems |
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| JIN Yan-wei,LIU Fu-chun,ZHAO Rui,CAO Wei-hua and CUI Hong-gang.Coprognosability of pattern fault for decentralized stochastic discrete event systems[J].Control Theory & Applications,2022,39(1):59-66. |
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| Authors: | JIN Yan-wei LIU Fu-chun ZHAO Rui CAO Wei-hua and CUI Hong-gang |
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| Affiliation: | Guangdong University of Technology,Guangdong University of Technology,Guangdong University of Technology,Guangdong University of Technology,Guangdong University of Technology |
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| Abstract: | The prognosis problem of pattern fault for decentralized stochastic discrete-event systems (DESs) is investigated.
Firstly, the notion of coprognosability of pattern fault for decentralized stochastic DESs is formalized based on the
characteristics of stochastic systems, and the pattern fault occurring in the system is identified by constructing the pattern
fault recognizer. Then, a pattern fault coprognoser is constructed, and an algorithm with polynomial complexity for pattern
fault coprognosis is proposed by using the pattern fault coprognoser. Particularly, the sufficient and necessary condition for
pattern fault coprognosis of decentralized stochastic DESs is presented, which solves the prognosis problem of pattern fault
for decentralized stochastic systems. |
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| Keywords: | stochastic discrete-event systems decentralized patterns fault fault prognosis |
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