2020
DOI: 10.1109/tsmc.2018.2854158
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On Hierarchical Construction of the State Space of an Automated Manufacturing System Modeled With Petri Nets

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Cited by 7 publications
(7 citation statements)
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“…According to ( 6)-( 8), e τ is determined by r τ . Moreover, r τ satisfies (4) and (5). Therefore, to encode the trajectory of CTPN , we rewrite (4)- (10) as a set of inequality or equality constraints.…”
Section: A Encoding the Trajectory Of Ctpnmentioning
confidence: 99%
See 1 more Smart Citation
“…According to ( 6)-( 8), e τ is determined by r τ . Moreover, r τ satisfies (4) and (5). Therefore, to encode the trajectory of CTPN , we rewrite (4)- (10) as a set of inequality or equality constraints.…”
Section: A Encoding the Trajectory Of Ctpnmentioning
confidence: 99%
“…INTRODUCTIONA Petri net is an appropriate tool for modelling of discrete event systems [1], [2]. In particular, it has been applied to resource allocation problems including scheduling in manufacturing systems because it provides representation of systems with a large state space [3], [4], [5]. For real-world systems, however, the size of the systems increases, and the systems contain structures that are similar but not exactly the same.…”
mentioning
confidence: 99%
“…The validation of these steps [70]- [72] is also a required step to be combined also with formal modeling and verification of some critical behaviors [73]- [77]. Nowadays, different formalisms are proposed to model discrete-event systems such as Petri nets [78]- [81] and timed automata [82]. We cite also the computation tree logic [83] which is the most used for describing functional and extra-functional properties to be respected by discrete-event systems.…”
Section: Overview On Related Workmentioning
confidence: 99%
“…This technique is called the reduction technique [43]. In order to deal with the problem of state space explosion, researchers propose a method to reduce the initial marking of a given PN to a smaller one [44]. At the same time, in order to improve the ability of system modeling, researchers put forward many special subnets with good properties, such as state machines [45], marked graphs [46], and free choice nets [47].…”
Section: Introductionmentioning
confidence: 99%