2019
DOI: 10.1109/access.2019.2936052
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On Algebraic Identification of Critical States for Deadlock Control in Automated Manufacturing Systems Modeled With Petri Nets

Abstract: Petri nets are an important and popular tool to model and analyze deadlocks in automated manufacturing systems. The state space of a Petri net model can be divided into two disjoint parts: a live-zone and a dead-zone. A first-met bad marking (FBM) is a marking in the dead-zone, representing the very first entry from the live-zone to the dead-zone, and the calculation of FBMs to a large extent contributes to the complexity of designing optimal liveness-enforcing supervisors. Most existing studies have to fully … Show more

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Cited by 31 publications
(20 citation statements)
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“…We intend to implement real-time middleware that embeds the proposed contribution and some intelligent optimization methods [40], [42]. In the future, we plan to use the developed method to the social networks [43], [44] and discret event systems [45]- [47].…”
Section: Discussionmentioning
confidence: 99%
“…We intend to implement real-time middleware that embeds the proposed contribution and some intelligent optimization methods [40], [42]. In the future, we plan to use the developed method to the social networks [43], [44] and discret event systems [45]- [47].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, motivated by the works in [37], [38], the more practical communication factors can be considered in the consensus problem, such as communication restriction or unreliable link. In addition, the consensus problem in discrete event systems are of much interest [39][40][41][42][43][44][45].…”
Section: Discussionmentioning
confidence: 99%
“…Traditional Petri nets are popularly used to model, simulate, control, and analyze automated manufacturing systems (AMSs). Existing traditional Petri net studies assumed one or more of the following: (1) the system configuration is recognized and does not change throughout the operation, (2) there is no addition of new machines and no removal of old machines, and machine failures are not addressed, (3) rework is not required, and (4) products to be manufactured are identified, their process routes are specified, and the addition of new products is not applicable [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. This means that traditional Petri net models do not undergo dynamic configurations, such as processing failures and rework, machine breakdowns, addition of new machines, addition of new products, removal of old machines, or change processing routes induced by the competitive global market.…”
Section: Definition Of Intelligent Colored Token Petri Netsmentioning
confidence: 99%