论自动化制造系统中鲁棒性与有效性的等同性

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2024-09-27 DOI:10.1109/TSMC.2024.3458939
Benyuan Yang;Hesuan Hu
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引用次数: 0

摘要

自动化制造系统有两个基本问题。一个是确定其稳健性(即检查标记是稳健的还是非稳健的),另一个是确定其有效性(即确定标记是活的、坏的、死锁的还是活锁的)。然而,现有的方法将它们分开处理。这使得现有方法在实践中效率低下。在本文中,我们将研究健壮性和有效性之间的关系。首先,我们展示了如何在不同的网络系统中定义鲁棒性,即活网络系统、有界网络系统、非可逆网络系统或可逆网络系统。其次,我们提出了一种基于可达性图的方法来评估标记的鲁棒性。第三,我们阐明了鲁棒性与有效性之间的关系,并得出结论:有效性是鲁棒性的一种特例,在这种特例下,不可靠转换集为空。因此,本文开发的稳健性判定方法被证明具有很大的通用性,可用于检查每个标记的有效性。
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On the Equivalence Between Robustness and Liveness in Automated Manufacturing Systems
There are two foundational problems in automated manufacturing systems. One is to determine their robustness (i.e., checking whether a marking is robust or nonrobust) while the other is to determine their liveness (i.e., determining whether a marking is live, bad, deadlock, or livelock). However, existing methods deal with them separately. This renders the existing methods inefficient in practice. In this article, we investigate the relation between robustness and liveness. First, we show how to define robustness in different net systems, i.e., the live, bounded, and nonreversible or reversible net systems. Second, we present a reachability graph-based method to assess the robustness of markings. Third, we clarify the relation between robustness and liveness, and conclude that liveness is a special case of robustness, under which the set of unreliable transitions is null. As a result, the robustness determination method developed in this article proves to be much general and can be used to check the liveness of each marking.
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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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