Parametric Transformation of Timed Weighted Marked Graphs: Applications in Optimal Resource Allocation
文献类型:期刊论文
作者 | Zhou He; Ziyue Ma; Zhiwu Li; Alessandro Giua |
刊名 | IEEE/CAA Journal of Automatica Sinica
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出版日期 | 2021 |
卷号 | 8期号:1页码:179-188 |
关键词 | Discrete event system resource allocation timed Petri net weighted marked graph |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2020.1003477 |
英文摘要 | Timed weighted marked graphs are a subclass of timed Petri nets that have wide applications in the control and performance analysis of flexible manufacturing systems. Due to the existence of multiplicities (i.e., weights) on edges, the performance analysis and resource optimization of such graphs represent a challenging problem. In this paper, we develop an approach to transform a timed weighted marked graph whose initial marking is not given, into an equivalent parametric timed marked graph where the edges have unitary weights. In order to explore an optimal resource allocation policy for a system, an analytical method is developed for the resource optimization of timed weighted marked graphs by studying an equivalent net. Finally, we apply the proposed method to a flexible manufacturing system and compare the results with a previous heuristic approach. Simulation analysis shows that the developed approach is superior to the heuristic approach. |
源URL | [http://ir.ia.ac.cn/handle/173211/43906] ![]() |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Zhou He,Ziyue Ma,Zhiwu Li,et al. Parametric Transformation of Timed Weighted Marked Graphs: Applications in Optimal Resource Allocation[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(1):179-188. |
APA | Zhou He,Ziyue Ma,Zhiwu Li,&Alessandro Giua.(2021).Parametric Transformation of Timed Weighted Marked Graphs: Applications in Optimal Resource Allocation.IEEE/CAA Journal of Automatica Sinica,8(1),179-188. |
MLA | Zhou He,et al."Parametric Transformation of Timed Weighted Marked Graphs: Applications in Optimal Resource Allocation".IEEE/CAA Journal of Automatica Sinica 8.1(2021):179-188. |
入库方式: OAI收割
来源:自动化研究所
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