基于Petri网的具有通信延迟和损耗的网络化自动化制造系统死锁解决

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Zijian Zhang;Hesuan Hu
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引用次数: 0

摘要

本研究解决了在Petri网(PNs)框架中具有通信延迟和损失的网络化自动化制造系统(ams)中的死锁解决问题。首先,我们将可能发生通信损耗的转换称为损耗转换,并对通信延迟和损耗进行数学建模。其次,在可达性图(ORG)的框架下,我们推导出一个判定网络PNs中死锁能否被解决的充要条件,称为网络死锁解决可控性定理(NDRCT)。通过ORG,在存在通信延迟和损失的情况下,网络监督者可以直观地获得特定观测值的估计标记集。基于NDRCT,可以确定死锁是否可以解决,以及如何设计控制器以避免具有通信延迟和损失的网络pn中的死锁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deadlock Resolution in Networked Automated Manufacturing Systems With Communication Delays and Losses Using Petri Nets
This study tackles the issue of deadlock resolution in networked automated manufacturing systems (AMSs) with communication delays and losses in the framework of Petri nets (PNs). First, we refer to the transitions in which communication losses may occur as loss transitions and mathematically model the communication delays and losses. Second, we derive a necessary and sufficient condition for determining whether deadlock can be resolved in networked PNs, referred to as the networked deadlock resolution controllability theorem (NDRCT), within the framework of the observed reachability graph (ORG). Through the ORG, the networked supervisor can intuitively obtain the estimated marking set for a specific observation in the presence of communication delays and losses. Based on NDRCT, one can determine whether deadlock can be resolved and how to design the controller to avoid deadlock in networked PNs with communication delays and losses.
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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